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  • inputs
  • The proposed approach trains a neural network model to construct the relationship function among response, inputs and parameters of a dynamic system, which is then used to predict the responses of the system. (redorbit.com)
  • model
  • To address the speed and reliability challenges, Lund University researchers developed their initial ANN model using MATLAB and Neural Network Toolbox. (mathworks.com)
  • In a simulated randomized trial, the preliminary results show that the ANN model we developed using MATLAB and Neural Network Toolbox would transplant approximately 20% more patients than would have been considered using traditional selection criteria," says Nilsson. (mathworks.com)
  • The results reveal that this neural model can replicate relevant behavioral and neurophysiological findings obtained from previous action imitation studies. (umd.edu)
  • The task of the PostDoc is to design a computer-simulated artificial neural network model that is complex enough to catch the richness of the immune response. (utwente.nl)
  • A new approach for determining the coefficients of a complex-valued autoregressive (CAR) and complex-valued autoregressive moving average (CARMA) model coefficients using complex-valued neural network (CVNN) technique is discussed in this paper. (hindawi.com)
  • The results show that the proposed method can accurately determine the model coefficients provided that the network is properly trained. (hindawi.com)
  • As for model deployment, you can calculate outputs, plot directional output, calculate Jacobian, and write mathematical expressions represented by the neural network . (listoffreeware.com)
  • We provide support for this hypothesis by simulating coevolution between senders and receivers, using artificial neural networks as a model of receivers' recognition mechanisms. (cogprints.org)
  • data
  • Here, we propose a neural network approach to predict human immune response based on genetic data. (utwente.nl)
  • Experience with developing neural network models for big data search is considered advantageous. (utwente.nl)
  • In this communication, we describe an attempt to process DEER data using artificial neural networks trained on large databases of simulated data. (sciencemag.org)
  • Accuracy and reliability of neural network outputs from real experimental data were found to be unexpectedly high. (sciencemag.org)
  • Deep Learning is a technique that uses neural networks organized in multiple layers to learn from a massive amount of data and draw conclusions about it. (medium.com)
  • Although people started experimenting with neural networks in the 50's , it was not until the last years that a combination of a sheer volume of data to learn from, the use of GPU and massively parallel computing, and new learning approaches, made them practical to be applied to bigger challenges. (medium.com)
  • The performance of the proposed technique has been evaluated using simulated complex-valued data (CVD) with three different types of activation functions. (hindawi.com)
  • This section of the Website highlights areas particularly where other research groups have wanted to make use of simulated blood glucose data in their own research work). (2aida.org)
  • Bellazzi and colleagues from the Dipiartimento di Informatica e Sistemistica, University of Pavia in Italy have described using simulated blood glucose data from AIDA to test out a number of computer decision-support prototypes under development in their laboratory. (2aida.org)
  • In particular the new data was obtained by simulating the patient response to a typical daily insulin protocol, composed of two injections of NPH insulin and two injections of regular insulin, followed by a meal. (2aida.org)
  • As a testing ground for their method the authors have considered the problem of identifying the response to insulin therapy in diabetes - using simulated data from AIDA to test out their approach. (2aida.org)
  • Once again, simulated data coming from AIDA was used for training and testing, with data sampled from the AIDA program every 15 minutes. (2aida.org)
  • proceedings
  • Krawec, who has been building robots since 1999, is a research assistant and PhD student in Computer Science at the Stevens Institute of Technology in Hoboken, N.J. The work presented in his two-part series is based on a paper published in the proceedings of the 13th International Artificial Life Conference in 2012. (circuitcellar.com)
  • applications
  • Neural Designer is my favorite neural network software because it can be used for a wide number of applications like Bank Marketing Campaign, Credit Risk Management, Breast Cancer Diagnosis, Activity Recognition, Nanoparticle Adhesive Strength, Banknote Authentication, etc. (listoffreeware.com)
  • Learning
  • The simulated results show that the proposed method can increase the convergence rate by more than 20%, compared with the back-propagation (BP), SA, and restricted Boltzmann machines based extreme learning machine (RBM-ELM) algorithms. (hindawi.com)
  • We are looking for a PostDoc with a PhD degree in computer science and/or mathematics with a strong background in artificial neural networks and machine learning. (utwente.nl)
  • This network will be capable of growing and learning in real time as the robot operates. (circuitcellar.com)
  • real
  • This evolving paradigm has gained much attention not only because there are situations where CVNNs are inevitably required or greatly effective than its counterpart, the real-valued neural network (RVNN), but because of its usefulness which is enshrined in the fundamental theorem of Algebra [ 25 - 27 ]. (hindawi.com)
  • design
  • This study proposes a novel three-phase approach for resolving the dynamic parameter design problems as well as the static characteristic problems, which combines continuous ant colony optimisation (CACO) with neural networks. (redorbit.com)
  • study
  • developed a hybrid structure recursive neural network (HS-RNN) to study human language processing, where the semantic structure was described by grammar symbols and classified by the HS-RNN. (hindawi.com)
  • Comprehensive and state-of-the-art, Artificial Neural Networks is an excellent guide to this accelerating technological field of study. (springer.com)
  • found
  • More decision layers are placed between the input and the output than usually found in neuronal networks, which is why the term "deep" is used. (eurekalert.org)