###### Locally Recurrent Neural N

- Model-Based Fault Detection and Isolation Using Locally Recurrent Neural Networks. (barnesandnoble.com)

###### Networks

- Recurrent High Order Neural Networks (RHONN) trained with Extended Kalman Filter (EKF) are used to identify rough terrain traversability costs, and besides the good results in the identification tasks, we get the advantages of using a robust machine learning method such as RHONNs. (springer.com)
- Rovithakis, G.A., Christodoulou, M.A.: Adaptive Control with Recurrent High-Order Neural Networks: Theory and Industrial Applications. (springer.com)
- Arana-Daniel N., Valdés-López J., Alanís A.Y., López-Franco C. (2018) Traversability Cost Identification of Dynamic Environments Using Recurrent High Order Neural Networks for Robot Navigation. (springer.com)
- The complete back propagation (BP) algorithm tuning equations used to tune the antecedent and consequent parameters for the interval type-2 fuzzy neural networks (IT2FNNs) are developed to handle the training data corrupted by noise or rule uncertainties for nonlinear system identification involving external disturbances. (igi-global.com)
- Simulation results are obtained for the identification of nonlinear system, which yield more improved performance than those using recurrent type-1 fuzzy neural networks (RT1FNNs). (igi-global.com)
- Recurrent Neural Networks: Identification and other System Theoretic Properties. (springer.com)
- Using time-dependent neural networks for EEG classification. (semanticscholar.org)
- Wu, S., Er, M.J.: Dynamic fuzzy neural networks-a novel approach to function approximation. (springer.com)
- Wu, S., Er, M.J., Gao, Y.: A fast approach for automatic generation of fuzzy rules by generalized dynamic fuzzy neural networks. (springer.com)
- We have developed a new method for identification of signal peptides and their cleavage sites based on neural networks trained on separate sets of prokaryotic and eukaryotic sequences. (psu.edu)
- Hamzacebi, C., Kutay, F.: Electric Consumption Forecasting of Turkey Using Artificial Neural Networks Up to Year 2000. (springer.com)
- Therefore the aim of this investigation was to evaluate the accuracy of the Cellular Neural Networks approach for automatic location of cephalometric landmarks on softcopy of direct digital cephalometric X-rays. (hindawi.com)
- Recently, a new hybrid approach, which is based on Cellular Neural Networks (CNNs), has been proposed for automatic detection of some landmarks [ 21 , 22 ]. (hindawi.com)
- How the Brain works Neural Networks Perceptrons. (slideserve.com)
- Hardware accelerator templates and design frameworks for implementing recurrent neural networks (RNNs) and variants thereof are described. (patents.com)
- Graves, A.: Neural Networks. (springer.com)
- The papers are organized in topical sections on neural networks and their applications, fuzzy systems and their applications, evolutionary algorithms and their applications, classification, rule discovery and clustering, image analysis, speech and robotics, bioinformatics and medical applications, various problems of artificial intelligence, and agent systems. (barnesandnoble.com)
- Neural Networks and Their Applications. (barnesandnoble.com)
- Input Signals Normalization in Kohonen Neural Networks. (barnesandnoble.com)
- WWW-Newsgroup-Document Clustering by Means of Dynamic Self-organizing Neural Networks. (barnesandnoble.com)
- Municipal Creditworthiness Modelling by Kohonen's Self-organizing Feature Maps and LVQ Neural Networks. (barnesandnoble.com)
- Fast and Robust Way of Learning the Fourier Series Neural Networks on the Basis of Multidimensional Discrete Fourier Transform. (barnesandnoble.com)
- Ensemble of Dipolar Neural Networks in Application to Survival Data. (barnesandnoble.com)
- Maximum of Marginal Likelihood Criterion instead of Cross-Validation for Designing of Artificial Neural Networks. (barnesandnoble.com)
- Neural Networks, 12 (4): 674-683. (ac.ir)
- Exchange Rate Forecasting: Neural Networks vs. Linear Models Using Monthly and Weekly Data. (ac.ir)
- Recurrent Neural Networks for Phasor Detection and Adaptive Identification in Power System Control and Protection. (ac.ir)
- In the recent years, the field of natural language processing has mainly pivoted to deep learning and state-of-the-art results for most tasks involving natural language are usually obtained with artificial neural networks. (genominfo.org)

###### algorithm

- With the estimated similarity scores, our algorithm for Conversation Identification by SImilarity Ranking (CISIR) then derives conversations based on high-confidence message pairs and pairwise redundancy. (fxpal.com)
- The performance of this algorithm (local recurrent global feedforward architecture) is compared with a local-feedforward global-feedforward architecture. (semanticscholar.org)
- The proposed controller is based on the Gen-eralized predictive control (GPC) algorithm, and a recur-rent fuzzy neural network (RFNN) is used to approximate the unknown nonlinear plant. (psu.edu)
- In this paper we propose a fuzzy recurrent neural network (FRNN) based fuzzy time series forecasting method using genetic algorithm. (springer.com)
- Stable Learning Algorithm of Global Neural Network for Identification of Dynamic Complex Systems. (barnesandnoble.com)

###### Prediction

- Wang, L., Buchanan, T.S.: Prediction of Joint Moments Using a Neural Network Model of Muscle Activations from EMG Signals. (springer.com)
- Hou, Y., Zurada, J.M., Karwowski, W.: Prediction of EMG Signals of Trunk Muscles in Manual Lifting Using a Neural Network Model. (springer.com)
- We propose a detection methodology by adapting a three-layered, deep learning architecture of (1) recurrent neural network [bi-directional long short-term memory (Bi-LSTM)] for character-level word representation to encode the morphological features of the medical terminology, (2) Bi-LSTM for capturing the contextual information of each word within a sentence, and (3) conditional random fields for the final label prediction by also considering the surrounding words. (springer.com)

###### presented a neural network

- In this paper, it is presented a neural network methodology for learning traversability cost maps to aid autonomous robotic navigation. (springer.com)

###### RFNN

- A recurrent fuzzy neural network (RFNN) model is proposed to establish the kinematics-EMG-force relationship and model the dynamics of muscular activities. (springer.com)

###### artificial neural networ

- Recurrent quantum neural network (RQNN) is an artificial neural network model which can perform stochastic filtering without any prior knowledge of the signal and noise. (springer.com)

###### realisation

- Parallel Realisation of the Recurrent RTRN Neural Network Learning. (barnesandnoble.com)

###### Predictive Control

- Efficient Predictive Control Integrated with Economic Optimisation Based on Neural Models. (barnesandnoble.com)

###### approach

- This paper proposes a novel fuzzy modeling approach for identification of dynamic systems. (igi-global.com)
- A Neural Network Model Based on the Multi-Stage Optimization Approach for Short-Term Food Price Forecasting in China. (ac.ir)

###### Fuzzy Logic

- In the past decades, fuzzy sets and their associated fuzzy logic have supplanted conventional technologies in many scientific applications and engineering systems, especially in control systems, pattern recognition and system identification. (igi-global.com)

###### inference

- Juang, C.F., Lin, C.T.: An on-line self-constructing neural fuzzy inference network and its applications. (springer.com)

###### Forecasting

- the latter is explained by the fact that system identification is a central issue in many branches of science and has a wide range of areas of applications from control of chemical processes to the analysis of earth quake data or forecasting of sales for firms. (springer.com)
- Semiparametric ARX Neural Network Models with an Application to Forecasting Inflation. (ac.ir)
- The Comparison of Artificial-neural and Auto-regressive Models for Forecasting Agricultural Product Price of Iran. (ac.ir)

###### model

- A fuzzy model, recurrent interval type-2 fuzzy neural network (RIT2FNN), is constructed by using a recurrent neural network which recurrent weights, mean and standard deviation of the membership functions are updated. (igi-global.com)
- System identification is concerned with finding a good model from, in general, noisy data, i.e. with data driven modeling. (springer.com)
- This paper presents a model based on Recurrent Neural Network architecture, in particular LSTM, for modeling the behavior of Large Hadron Collider superconducting magnets. (springer.com)

###### Framework

- A point process framework for relating neural spiking activity to spiking history, neural ensemble, and extrinsic covariate effects. (semanticscholar.org)

###### Theory

- This proposal is based on the control theory idea for dynamical system identification i.e. we solve the problem of learning and recognizing the pattern which describes the best the behavior of the cost function that represents the environment to obtain traversability cost maps as if we are identifying a dynamical system that is the rough terrain where the robot navigates. (springer.com)

###### weights

- An important question in neuroevolution is how to gain an advantage from evolving neural network topologies along with weights. (psu.edu)

###### classification

- Neural Network in Fast Adaptive Fourier Descriptor Based Leaves Classification. (barnesandnoble.com)

###### Learning

- Learning is enhanced within the action network by using a neural network configured to operate according to unsupervised learning techniques based upon a Kohonen Feature Map. (google.com)

###### nodes

- A knowledge graph is traversed by receiving a knowledge graph at a deep neural network, the knowledge graph including a plurality of nodes connected by a. (patents.com)

###### Advances

- Advances in Neural Information Processing Systems 25, pp. 1097-1105. (springer.com)

###### system identification

- For these reasons methods and theories have been developed which make system identification a subject of its own. (springer.com)
- Balanced Canonical Forms for System Identification. (springer.com)
- Linear System Identification - a Survey. (springer.com)
- System Identification, Reduced Order Filters and Modelling via Canonical Variate Analysis. (springer.com)
- A Dynamic Minimal Parametrization of Multivariable Linear Systems and its Application to System Identification. (springer.com)

###### Control

- Lin, C.M., Hsu, C.F.: Supervisory recurrent fuzzy neural network control of wing rock for slender delta wings. (springer.com)

###### data

- Therefore, this new data demonstrates that, during the long-term cultivation of neural progenitors derived from pluripotent stem cells, the duplication of arm 1q provides a massive advantage, resulting in the selection of abnormal cells. (inserm.fr)
- One key problem in computational neuroscience and neural engineering is the identification and modeling of functional connectivity in the brain using spike train data. (semanticscholar.org)

###### Brain

- Quantum neural network-based EEG filtering for a brain-computer interface. (springer.com)

###### reliability

- Neural Network Device for Reliability and Functional Analysis of Discrete Transport System. (barnesandnoble.com)

###### clinical

- In this work, we adapt an existing neural NER system, NeuroNER, to the particular domain of Spanish clinical case texts, and extend the neural network to be able to take into account additional features apart from the plain text. (genominfo.org)

###### local

- A Siamese Hierarchical Convolutional Neural Network (SHCNN), which integrates local and more global representations of a message, is first presented to estimate the conversation-level similarity between closely posted messages. (fxpal.com)
- A new neural network architecture involving either local feedforward global feedforward, and/or local recurrent global feedforward structure is proposed. (semanticscholar.org)