• This article presents a non-linear modelling framework to capture the intricate dynamics of social systems. (epw.in)
  • This paper presents a tractable model of non-linear dynamics of market returns using a Langevin approach. (ssrn.com)
  • The proposed method augments the system dynamics with an approximated internal linear model of the combined contribution of known nonlinearities and unknown faults -- leading to an approximated linear model in the augmented state. (arxiv.org)
  • We exploit the broad modeling power of ultra-local models to characterize this internal dynamics. (arxiv.org)
  • Because the nonlinearity does not play a role in the filter dynamics (it is only used as a static nonlinear output to estimate the fault), we can avoid standard restrictive assumptions like globally (one-sided) Lipschitz nonlinearities and/or the need for Lipschitz constants to carry out the filter design. (arxiv.org)
  • Closed-loop control of the firing rate of the neuron is thus desirable, but very challenging due to the underlying highly nonlinear dynamics. (researchsquare.com)
  • A Hodgkin-Huxley model of the nonlinear neural dynamics in terms of its membrane potential with respect to current stimulation is developed together with its underlying ion channel dynamics in terms of gating variables. (researchsquare.com)
  • Next, a dynamic inversion nonlinear controller, a robust incremental dynamic inversion controller, and a model predictive controller are derived to directly regulate the nonlinear neuron dynamics in terms of controlled firing. (researchsquare.com)
  • The synthesis of lead, lag, lead-lag, dynamic inversion, model predictive control-based feedback controllers over the nonlinear dynamics of the neuron led to controlled firing and a fast response that was robust to stochastic synaptic noise. (researchsquare.com)
  • Latent force models are systems whereby there is a mechanistic model describing the dynamics of the system state, with some unknown forcing term that is approximated with a Gaussian process. (mlr.press)
  • If such dynamics are non-linear, it can be difficult to estimate the posterior state and forcing term jointly, particularly when there are system parameters that also need estimating. (mlr.press)
  • We compare estimates on systems where the posterior is known, demonstrating the effectiveness of the approximation, and apply to problems with non-linear dynamics, multi-output systems and models with non-Gaussian likelihoods. (mlr.press)
  • The inversion phenomenon of the tippedisk can be modeled by a rigid eccentric disk in permanent contact with a flat support, and the dynamics of the system can therefore be formulated as a set of ordinary differential equations. (springer.com)
  • The qualitative behavior of the nonlinear system can be analyzed, leading to slow-fast dynamics. (springer.com)
  • However, it turns out that the linear dynamics of the full system cannot properly describe the qualitative behavior of the tippedisk. (springer.com)
  • Therefore, we simplify the equations of motion of the tippedisk in such a way that the qualitative dynamics are preserved in order to obtain a reduced model that will serve as the basis for a following nonlinear stability analysis. (springer.com)
  • Test particle codes indicate that electron dynamics due to interactions with low amplitude incoherent whistler mode‐waves can be adequately described by quasi‐linear theory. (bas.ac.uk)
  • However there is significant evidence indicating that higher amplitude waves cause electron dynamics not adequately described using quasi‐linear theory. (bas.ac.uk)
  • We find that the electron dynamics agree well with the quasi‐linear theory diffusion coefficients for low amplitude incoherent waves with (B w,rms/B 0)2≈3.7·10−10, over a time scale T of the order of 1,000 gyroperiods. (bas.ac.uk)
  • Interestingly, when considered over these appropriately shorter time scales (of the order of hundreds or tens of gyroperiods), the diffusive component of the dynamics agrees well with the predictions of quasi‐linear theory, even for wave amplitudes up to (B w,rms/B 0)2≈5.8·10−6. (bas.ac.uk)
  • Quasi‐linear theory is based on fundamentally diffusive dynamics, but the evidence presented herein also indicates the existence of a distinct advective component. (bas.ac.uk)
  • In Nonlinear Dynamics (Vol. 1, pp. 203-217). (coventry.ac.uk)
  • However, to build successful applications, deviations from the linear model are often modeled as second-order effects or error terms. (sagepub.com)
  • A system is often modeled by analyzing records of certain system variables. (lu.se)
  • article{088922ab-78c4-4bd0-a806-03a470916a0c, abstract = {{This paper deals with transient finite elements modeling of magnetostriction. (lu.se)
  • Abstract: We present a new model for simulating exclusive final states in minimum-bias collisions between hadrons. (lu.se)
  • Since even a freely rotating rigid body with six degrees of freedom already leads to highly nonlinear system equations, a general analysis for the full system equations is not feasible. (springer.com)
  • The above results point therefore to a failure of naive perturbation theory in describing correctly the physical behavior of the O(n)-symmetric model above two dimensions, and to the need for more sophisticated non-perturbative methods such as the lattice formulation. (wikipedia.org)
  • We consider linear and nonlinear stochastic models for transmission of blood types and Rhesus factor from parents to their offspring and investigate long run behavior of these models. (scialert.net)
  • It is this nonlinear firing behavior together with firing rate that gives rise to synaptic plasticity and forms the basis of memory, perception, action, and behavior. (researchsquare.com)
  • Pauline Kergus uses artificial intelligence to model the thermal behavior of buildings. (lu.se)
  • In order to explore this feature, it is important to model building's thermal behavior in order to enable the use of demand-side management control strategies. (lu.se)
  • These results stand in stark contrast to the most of other option pricing models such as local, stochastic, or rough volatility models that need more complex specifications of noise to fit the market data. (ssrn.com)
  • Interpreting these findings, to constrain our understanding of hierarchical galaxy formation, however requires us to accurately quantify how the interplay between each galaxy's stochastic, cosmological merger history and internal non-linear, astrophysics shape its final stellar halo observables. (lu.se)
  • Deshpande, Mangesh S. 2012-02-21 00:00:00 [For several decades, the traditional approach to speech modeling has been the linear (source-filter) model where the true nonlinear physics of speech production is approximated via the standard assumptions of linear acoustics and one-dimensional plane wave propagation of the sound in the vocal tract. (sagepub.com)
  • Department of Theo- these problems are typically limited to linear dependencieslike us- retical Physics, University of Lund, Lund, Sweden ing correlation matrices. (lu.se)
  • Pauline's research focuses on building such models through a physics-informed learning based approach, taking advantage of the available measurements. (lu.se)
  • How can generalized linear mixed model produce non-linear regression? (stackexchange.com)
  • To draw the lines below, generalized linear mixed model regression is used in order to model the effect of time (represented on the x-axis) on percentage of TDR (represented on the y-axis). (stackexchange.com)
  • I would expect to see a linear increase over time, as it is linear regression. (stackexchange.com)
  • The experimental data were analyzed by non-linear regression analysis using a previously developed diffusion model in order to ascertain the optimal values of two adjustable parameters, the fractional deposition depth (fdep) and the permeant diffusivity inside the stratum corneum (DSC). (cdc.gov)
  • of the residuals of the linear multiple regression model. (lu.se)
  • Existing methods for doing this are based either on linear regression, which limits the analysis to linear dependencies, or on trial-and-error procedures. (lu.se)
  • At first, a linear model is developed, which is verified by comparing the fourier transform of the step-response of the dynamical model to the, numerically differentiated, frequency response of the system. (lu.se)
  • The reduced equations are presented here in full detail and are compared numerically with the full model. (springer.com)
  • I have read a paper which numerically solved a Nonlinear BS and compared results with Linear BS . (stackexchange.com)
  • Whilst there has been much success in modeling the linear and nonlinear rheology of monodisperse entangled linear polymers, progress in the constitutive modeling of polymeric materials continues to lag behind the needs of industry. (lu.se)
  • 56, 823-873 (2012)], which is able to predict the linear and nonlinear rheology of bidisperse blends but is prohibitively complex for industrial use. (lu.se)
  • A dynamical model based on BFKL evolution [1, 2] for small x and including saturation effects, has been presented in a series of papers [3-7]. (lu.se)
  • The aim of this study is to validate a fully non-linear finite-element model to simulate waves and wave-structure interactions. (tudelft.nl)
  • This produces a closed-form approximation for option pricing in the NES model by a mixture of three Black-Scholes prices, providing accurate calibration to option prices for either benign or distressed market environments, while using only a single volatility parameter. (ssrn.com)
  • Why is call option value same as portfolio value at all times in Black Scholes model? (stackexchange.com)
  • Linear and non-linear models were used to determine and predict the relationships between input and output variables. (mdpi.com)
  • The research aims to determine if the numerical wave models that are being used to predict the wave forces acting on monopile supported OWT are appropriate for large dimeter monopiles. (plymouth.ac.uk)
  • Vulnerability forecasting models help us to predict the number of vulnerabilities that may occur in the future for a given Operating System (OS). (scirp.org)
  • These models predict the stresses and possible cracks in a more reliable manner. (ugent.be)
  • In this study we will consider an application of the theory of Markov chains and the theory of nonlinear transformations in medicine. (scialert.net)
  • Remember that all hidden states and observations in the model are drawn from Gaussian distributions since they are computed via linear transformations. (cmu.edu)
  • K. Van Meirvenne, W. De Corte, V. Boel, L. Taerwe, "Nonlinear analysis of the end zones of prestressed concrete girders", submitted for PCI convention and national bridge conference at the precast show, Ohio, 2017. (ugent.be)
  • This is a first step towards modelling the interactions between pile and steep irregular waves. (tudelft.nl)
  • This paper deals with a size-structured population model consisting of a quasi-linear first-order partial differential equation with nonlinear boundary condition. (aimsciences.org)
  • Strategies for Modelling Nonlinear Time-Series Relationships ," The Economic Record , The Economic Society of Australia, vol. 69(206), pages 233-238, September. (repec.org)
  • Traditional subjective expected utility (SEU) methods do so linearly, and as such cannot capture non-linear strategies used to guard against the uncertainty over how accurately a model reflects the real-world distribution. (risk.net)
  • A celebrated example, of particular interest due to its topological properties, is the O(3) nonlinear σ-model in 1 + 1 dimensions, with the Lagrangian density L = 1 2 ∂ μ n ^ ⋅ ∂ μ n ^ {\displaystyle {\mathcal {L}}={\tfrac {1}{2}}\ \partial ^{\mu }{\hat {n}}\cdot \partial _{\mu }{\hat {n}}} where n̂=(n1, n2, n3) with the constraint n̂⋅n̂=1 and μ=1,2. (wikipedia.org)
  • From the resulting set of partial differential equations, we derive a Lyapunov functional that can also be regarded as the free energy of this model, and minimize it with a Monte Carlo method to detect the condition for self-organized aggregation. (nature.com)
  • I am working on a project related to Nonlinear BS partial differential equation, with terms for transaction costs and/or discrete hedging. (stackexchange.com)
  • Using a partial F test, we compared the linear model with a third-order polynomial model, which showed a better fit to the data [F(2,101) = 9.5, P (bvsalud.org)
  • For this purpose four different non-linear models were used to define growth curves of turkeys, namely Gompertz, Logistic, Morgan-Mercer-Flodin (MMF), and Richards. (tubitak.gov.tr)
  • Considering model selection criteria, Gompertz, Logistic and Richards models seen to be suitable models for explaining Large White turkey growth. (tubitak.gov.tr)
  • The terms on the right-hand side of Eq. ( 1 ) represent chemotactic movement and nonlinear diffusion, respectively. (nature.com)
  • The case study considers survivability-like wave conditions, represented by three steep focused waves, particularly challenging to be modelled using potential theory-based mathematical models. (polito.it)
  • The present work aimed to model the growth curves of male and female turkeys with respect to their live weight-age relationships and to determine a non-linear model explaining their growth curve better. (tubitak.gov.tr)
  • Finally, we take a brief look at how to perform parameter learning for state space models and how to deal with non-linearity in these systems. (cmu.edu)
  • The parameter chiefly responsible for deciding the (active or passive) role of the plate is its decoupling from its neighbours, achieved in the models by assuming weakness zones. (geophysicsjournal.com)
  • This work provides a framework for linear model predictive control (MPC) of nonlinear distributed parameter systems (DPS), allowing the direct utilization of existing large-scale simulators. (umn.edu)
  • It is based on Mueller's dipole cas- cade model [8-10], which is a formulation of the leading logarithmic (LL) BFKL evolution approximation in impact-parameter space. (lu.se)
  • On Estimating Thresholds In Autoregressive Models ," Journal of Time Series Analysis , Wiley Blackwell, vol. 7(3), pages 179-190, May. (repec.org)
  • r-sig-meta-analysis at r-project.org Subject: Re: [R-meta] Non-linear model with metafor Dear Wolfgang, Thank you very much for answering to my e-mail. (ethz.ch)
  • Sin, G , Eliasson Lantz, A & Gernaey, K 2009, Sensitivity Analysis of Non-Linear Dynamic Models: Prioritizing Experimental Research . (dtu.dk)
  • Unlike traditional ones, we propose a vulnerability analytic prediction model based on linear and non-linear approaches via time series analysis. (scirp.org)
  • These springs exhibit non-linear force-displacement characteristics, making their modelling a crucial aspect of structural analysis. (altair.com)
  • TYPE=KN is allowed only for nonlinear analysis. (altair.com)
  • Based on the state vector analysis of the system, the dq axis model of the split phase induction motor is deduced. (researchbib.com)
  • We therefore have to reduce the complexity of the model, to pave the way for a closed form stability analysis. (springer.com)
  • In this paper, the main focus is on linear stability analysis and a physically motivated reduction of the system. (springer.com)
  • In the previous lecture, we introduced State Space Models which can be visualized as sequential FA (Factor Analysis) models or HMMs (Hidden Markov Models) where both hidden states and outputs are drawn from continuous distributions. (cmu.edu)
  • L. Liu , J. Wang and X. Liu , Global stability of an SEIR epidemic model with age-dependent latency and relapse, Nonlinear Analysis: RWA , 24 (2015), 18-35. (aimsciences.org)
  • In the analysis of nonlinear dynamical system, it is essential to establish accurate and reliable tools that are capable of estimating the parameters from measured data for both the linear and nonlinear system. (coventry.ac.uk)
  • Our analysis shows that the digital-only players using adaptive models enjoyed higher revenue growth compared to players with traditional models. (accenture.com)
  • Fig. 2 be used for generating models for statistical analysis, and output can be generated in the form of reports and graphs. (who.int)
  • Mueller's model includes multiple subcollisions in the frame used for the analysis, with similarities to saturation effects in the Color Glass Condensate [12-16] or the BK equation [17, 18]. (lu.se)
  • Cooper, SB , Delli Carri, A & Di Maio, D 2016, Model upgrading to augment linear model capabilities into nonlinear regions . (coventry.ac.uk)
  • K. Van Meirvenne, W. De Corte, V. Boel, L. Taerwe, "Verification of the bursting and spalling formulas in the fib Model Code by finite element analyses of anchorage zones of pretensioned girders", in fib symposium, Cape Town, 2016. (ugent.be)
  • Preliminary results suggests that the present model is capable of modelling focused wave events propagating in the numerical wave tank. (tudelft.nl)
  • The focus of the research, therefore, will be to develop a non-linear numerical wave model to assess the dynamic behaviour of a large diameter monopile-based offshore wind turbine (OWT) in the extreme sea conditions of Jamaica. (plymouth.ac.uk)
  • To investigate this, the numerical wave models used to determine the wave forces around vertical cylinders will be assessed and an appropriate non-linear numerical wave model will be proposed for a large diameter cylinder. (plymouth.ac.uk)
  • In both approaches, the non-trivial renormalization-group fixed point found for the O(n)-symmetric model is seen to simply describe, in dimensions greater than two, the critical point separating the ordered from the disordered phase. (wikipedia.org)
  • The model is based on Monod and Hill kinetics extended with gas-to-liquid mass transfer and a cybernetic approach to describe diauxic-like growth. (biomedcentral.com)
  • The Patlak-Keller-Segel equation is a canonical model of chemotaxis to describe self-organized aggregation of organisms interacting with chemical signals. (nature.com)
  • We describe the motivation behind building topic models and develop a mathematical representation for these models. (cmu.edu)
  • Both models were able to describe the combined observations from absorption data from three of the four applied doses. (cdc.gov)
  • In this paper we present a further extension of this model to also describe exclusive final states. (lu.se)
  • Characterizing Nonlinearities in Business Cycles Using Smooth Transition Autoregressive Models ," Journal of Applied Econometrics , John Wiley & Sons, Ltd., vol. 7(S), pages 119-136, Suppl. (repec.org)
  • We use a linear filter to reconstruct the augmented state (simultaneously estimating the state of the original system and the sum of nonlinearities and faults). (arxiv.org)
  • This paper presents a modular framework approach for upgrading a valid linear finite element structural model to accommodate any nonlinearities present in a system. (coventry.ac.uk)
  • A physical scaled model in a wave tank will be used to validate the model. (plymouth.ac.uk)
  • In this article, we will check how to work with such elements and validate the results of modelling a non-linear spring using PBUSH property and PBUSHT in OptiStruct. (altair.com)
  • To validate the efficiency of the proposed method, numerical and experimental studies are conducted on a "Multiple Beam Test Structure", the method uses an iterative process to upgrade the nonlinear terms in the system. (coventry.ac.uk)
  • Numerical and experimental results are compared with each other in order to validate the FE models and additionally parametric studies are performed on these models. (ugent.be)
  • Using a two-component Gaussian mixture as a ground state WF with an asymmetric double well potential produces a tractable low-parametric model with interpretable parameters, referred to as the NES (Non-Equilibrium Skew) model. (ssrn.com)
  • The model parameters were calibrated against batch fermentation data. (biomedcentral.com)
  • There are no guidelines available that can be used to choose the parameters of neural network models and therefore the parameters are chosen according to what the researcher considers to be the best. (aston.ac.uk)
  • The rheological model parameters were successively refined, effective viscosity depending on (1) depth, (2) temperature and pressure, and (3) temperature, pressure, and stress. (geophysicsjournal.com)
  • In the same vein, given the fact that 1969:10 marks the beginning of a protracted rising trend in South African inflation data, we estimate the models for an in-sample period of 1921:02-1966:09 and evaluate 24 step-ahead forecasts over an out-of-sample period of 1966:10-2013:01. (repec.org)
  • In addition, using a weighted loss function specification, we evaluate the forecast performance of different non-linear models across various extreme economic environments and forecast horizons. (repec.org)
  • The objective of the Collaborative Computational Project in Wave Structure Interaction is to critically compare and evaluate various different modelling techniques, under the same shared experimental conditions, and using clearly pre-defined metrics. (polito.it)
  • We used distributed lag non-linear models to evaluate associations between wet bulb globe temperature (WBGT) and productivity of workers with normal or impaired kidney function. (cdc.gov)
  • begingroup$ They have probably included a quadratic component, i.e. something like $\hat y=\beta_0 + \beta_1 x + \beta_2 x^2$ or perhaps some other non-linear transformation of the independent variable. (stackexchange.com)
  • begingroup$ I noticed only now that the dependent variable is a probability, so they probably have used a non-linear link function, as indicated in @YAK answer (+1). (stackexchange.com)
  • please refer to the base article on the sigma model for general definitions and classical (non-quantum) formulations and results. (wikipedia.org)
  • The proposed non-linear analytic models produce very good prediction results in comparison to linear time series models. (scirp.org)
  • Our results show that in general neural network models perform better than traditionally used time series models in forecasting exchange rates. (aston.ac.uk)
  • This paper presents a mathematical model and simulation results of dynamic characteristics of the split phase induction motor for different values of the inductor and moment of inertia at no-load conditions. (researchbib.com)
  • This reduction has to be understood as simplification of the full model and will be validated through various numerical models and the results will be compared to experimental data in future research. (springer.com)
  • We demonstrate that each slope discontinuity results in a loss of total energy and eventually contributes to the progressive nonlinear damping of the sloshing motion. (aps.org)
  • The existence of such a fixed point is relevant, as it grants, at this order of perturbation theory, that conformal invariance is not lost due to quantum corrections, so that the quantum field theory of this model is sensible (renormalizable). (wikipedia.org)
  • Furthermore, the existence of global attractor is established by proving the asymptotic smoothness and eventual compactness of the nonlinear semigroup associated with the solutions. (aimsciences.org)
  • There are strong theoretical and experimental evidences for the existence of important nonlinear aerodynamic phenomena during the speech production that cannot be accounted for by the linear model. (sagepub.com)
  • Although many of the models commonly used in empirical finance are linear, the nature of financial data suggests that non-linear models are more appropriate for forecasting and accurately describing returns and volatility. (repec.org)
  • The enormous number of non-linear time series models appropriate for modeling and forecasting economic time series models makes choosing the best model for a particular application daunting. (repec.org)
  • The performance of alternative forecasting methods for SETAR models ," International Journal of Forecasting , Elsevier, vol. 13(4), pages 463-475, December. (repec.org)
  • Performance of Alternative Forecasting Methods for Setar Models ," The Warwick Economics Research Paper Series (TWERPS) 467, University of Warwick, Department of Economics. (repec.org)
  • The Performance of Alternative Forecasting Methods for SETAR Models ," Economic Research Papers 268737, University of Warwick - Department of Economics. (repec.org)
  • Non-linear models have increasingly featured, along with linear counterparts, in the forecasting literature. (repec.org)
  • In this study, we focus on forecasting South African infl ation by means of non-linear models and using a long historical dataset of seasonally-adjusted monthly inflation rates spanning from 1921:02 to 2013:01. (repec.org)
  • In general, we find that no competing model consistently and significantly beats the LoLiMoT's performance in forecasting South African inflation. (repec.org)
  • In this paper the exchange rate forecasting performance of neural network models are evaluated against random walk and a range of time series models. (aston.ac.uk)
  • How does the generalized linear model generalize the general linear model? (stackexchange.com)
  • We generalize to a multi-component (polydisperse) model, based on the same underlying principles. (lu.se)
  • Borrowing ideas from supersymmetric quantum mechanics (SUSY QM), a parameterized ground state wave function (WF) of this QM system is used as a direct input to the model, which also fixes a non-linear Langevin potential. (ssrn.com)
  • The observation could be described with a modified diauxic model including a second enzyme system with a higher affinity for glucose being expressed when pentose saccharides are consumed. (biomedcentral.com)
  • The proposed scheme is adaptive and it is based on successive local linearizations of the nonlinear model of the system at hand around the current state and on the use of the resulting local linear models for MPC. (umn.edu)
  • At every timestep, not only the future control moves are updated but also the model of the system itself. (umn.edu)
  • In this paper, non-linear dependence of volume fraction of inclusions on the effective thermal conductivity of composite materials is investigated. (scirp.org)
  • In this paper the economic aspects of internal variety in product design and manufacturing are analyzed and non-linear decision model for designing the cost effective product family is presented. (designsociety.org)
  • This paper deals with transient finite elements modeling of magnetostriction. (lu.se)
  • This paper addresses the problem of robust process and sensor fault reconstruction for nonlinear systems. (arxiv.org)
  • In this paper through extensive experimentation the level of subjectivity in building neural network models is considerably reduced and therefore giving them a better chance of performing well. (aston.ac.uk)
  • In this paper a new theoretical model for the Rapid Chloride Migration test is presented. (tue.nl)
  • This paper details a contribution implementing, in a computationally efficient way, non-linear Froude-Krylov forces and non-linear kinematics, with the goal to define a medium-high fidelity model, able to compute at a small fraction of the computational time typically required by fully non-linear models. (polito.it)
  • In this paper is outlined a technique for determining the non-linear constitutive properties of an orthrotropic laminated material such as a fiber reinforced composite. (montana.edu)
  • I think it's a good time, if you have pen and paper, to kinda brainstorm, how, if we can, how can we model our chatbot to be a linear data structure? (frontendmasters.com)
  • Additional approximations give rise to a final practical version of the NES model, where real-measure and risk-neutral return distributions are given by three component Gaussian mixtures. (ssrn.com)
  • This means that all conditional and marginal probabilities in the model are also Gaussian distributions. (cmu.edu)
  • Identification of nonlinear dynamical systems have enjoyed significant progression over the past few years with the outcome of various developed identificationmethods, however there is still no generalised method applicable to structures with arbitrary nonlinearity. (coventry.ac.uk)
  • Conventional linear approach is too simplistic a framework to capture and deal with such phenomena. (epw.in)
  • Utilizing time series approach, this study has developed a predictive analytic model for three popular Desktop Operating Systems, namely, Windows 7, Mac OS X, and Linux Kernel by using their reported vulnerabilities on the National Vulnerability Database (NVD). (scirp.org)
  • When dealing with non-linear springs, one possible approach is using the CBUSH element with the PBUSH property and PBUSHT table options to accurately represent the behaviour of these components. (altair.com)
  • Such an approach, however, implies that the risk of making bad decisions is extremely high which could explain why in many studies neural network models do not consistently perform better than their time series counterparts. (aston.ac.uk)
  • Non-Linear Time Series Models in Empirical Finance ," Cambridge Books , Cambridge University Press, number 9780521779654, November. (repec.org)
  • Supersymmetry (SUSY) is then used to find time-dependent solutions of the model in an analytically tractable way. (ssrn.com)
  • This model treats the density of organisms ρ ( r , t ) and the concentration of chemical attractants c ( r , t ) as continuous variables, where r denotes spatial coordinates and t means time, and describes the interplay between them. (nature.com)
  • However, due to time constraints, we were unable to discuss techniques to perform efficient inference on these models. (cmu.edu)
  • The success of such models relies heavily upon identifying the underlying structure in the input space -- it is advantageous to know in advance which inputs are most relevant, the embedding dimension in the case of a time series, noise level, etc. (lu.se)
  • In this lecture, we pick up from the previous lecture and first cover Kalman Filtering , a recursive algorithm for inference in State space models and derive equations for this technique. (cmu.edu)
  • We will now derive equations for both steps for our state-space model. (cmu.edu)
  • 2000;97:9840-9843), according to which the equations of the model (and consequently of the simulator) need not be given explicitly to the controller. (umn.edu)
  • S. Kumar, R. Bhoopal, P. Sharma, R. Beniwal and R. Singh, "Non-Linear Effect of Volume Fraction of Inclusions on The Effective Thermal Conductivity of Composite Materials: A Modified Maxwell Model," Open Journal of Composite Materials , Vol. 1 No. 1, 2011, pp. 10-18. (scirp.org)
  • The non-linear binding coefficients correspond well to experimental data found in literature. (tue.nl)
  • The best correlation between the experimental data and model predictions was observed with the variable diffusivity model. (cdc.gov)
  • This classroom-tested advanced undergraduate and graduate textbook, first published in 2000, provides a rigorous treatment of recently developed non-linear models, including regime-switching and artificial neural networks. (repec.org)
  • We have developed the models based on Auto Regressive Moving Average (ARIMA), Artificial Neural Network (ANN), and Support Vector Machine (SVM) settings. (scirp.org)
  • Such modeling could range from parametric approaches to non-parametric ones like Artificial Neural Networks (ANN). (lu.se)
  • The course covers the most common models in the area of artificial neural networks with a focus on the multi-layer perceptron. (lu.se)
  • This lecture only covers variational inference and the mean-field assumption in topic models. (cmu.edu)
  • Kalman filtering is a technique to perform efficient inference in the forward algorithm for state-space models. (cmu.edu)
  • In general you have don't have an exact solution for the non linear equation - so you have to use numerical methods. (stackexchange.com)
  • One then needs to solve discrete optimization problems, which, despite the simplicity of the models, become computationally challenging for large proteins. (lu.se)
  • Proposed approximation formula is based on the Maxwell's equation, in that a non-linear term dependent on the volume fraction of the inclusions and the ratio of the thermal conductivities of the polymer continuum and inclusions is introduced in place of the volume fraction of inclusions. (scirp.org)
  • Thus, the linear model can be viewed only as a first-order approximation to the true speech acoustics which also contains second-order and nonlinear structure. (sagepub.com)
  • We propose a pair of simplified tube models for polydisperse melts of entangled linear polymers that combine the success of the double reptation approximation [des Cloizeaux, Europhys. (lu.se)
  • To date, there are no molecular-based constitutive models that are practically suitable for describing industrially relevant polymers in industrially relevant flows. (lu.se)
  • 5, 437-442 (1988)] in the linear regime with the success of the Rolie-Poly constitutive equation [Likhtman et al. (lu.se)
  • He is a full professor at the Technical University of Munich, holding the chair 'Mathematical Modelling of Biological Systems', associate faculty at the Wellcome Trust Sanger Institute as well as adjunct faculty at the Northwestern University. (lu.se)
  • In the frame of this project full-size girders with end zones and multiple strands are modeled. (ugent.be)
  • Rather, it is to evolve from reliance on a single, vertically integrated business model to multiple non-linear models and roles in the value chain. (accenture.com)
  • Depending on the size, market and strength of the bank, an incumbent can embrace any mix of these approaches to increase business model flexibility and differentiate itself from the competition. (accenture.com)
  • The main obstacles to our modelling are the numerical limitations, forcing upon us such artificialities as two-dimensionality, rectangular model boxes, coarse grids, and generalized weakness zones. (geophysicsjournal.com)