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Multilayer perceptron
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81	Feature weighting in “chick-a-dee” call notes of Poecile atricapillus Carly M. Nickerson, Laurie L. Bloomfield, and Michael R. W. Dawson Department of Psychology, University of Alberta, Edmonton, Alberta T6G 2E9, Can Add to Reading List Source URL: www.bcp.psych.ualberta.ca Language: English - Date: 2012-07-11 15:01:14 Cybernetics Science Neuroscience Perceptron Black-capped Chickadee Carolina Chickadee Mountain Chickadee Mexican Chickadee Multilayer perceptron Poecile Neural networks Computational neuroscience
82	Learning and Motivation[removed]–103 www.elsevier.com/locate/l&m The implications of null patterns and output unit activation functions on simulation studies of learning: A case study of patterning Add to Reading List Source URL: www.bcp.psych.ualberta.ca Language: English - Date: 2012-07-11 15:01:15 Cybernetics Neuroscience Cognitive science Learning Perceptron Multilayer perceptron Connectionism Reinforcement Activation function Neural networks Computational neuroscience Science
83	Seminar MPOC: The use of Neural Networks in Ocean Modelling Erik van Sebille June 6, 2005 Abstract This paper gives a short introduction in the use of Neural Networks in Add to Reading List Source URL: www.erik.vansebille.com Language: English - Date: 2011-03-14 15:29:13 Science Perceptron Backpropagation Artificial neuron Activation function Multilayer perceptron Artificial neural network Cellular neural network Neural networks Machine learning Cybernetics
84	Connectionism and Classical Conditioning Michael R.W. Dawson University of Alberta Edmonton, Alberta Canada T6G 2P9 Add to Reading List Source URL: www.bcp.psych.ualberta.ca Language: English - Date: 2013-02-13 15:01:40 Ethology Computational neuroscience Learning Behavioural sciences Perceptron Connectionism Rescorla–Wagner model Multilayer perceptron Artificial neural network Neural networks Behavior Science
85	in Proceedings of the 1999 International Joint Conference on Neural Network (pp. 304i–304vi) 304i Internal representation in networks of non-monotonic processing units David B. McCaughan Add to Reading List Source URL: www.bcp.psych.ualberta.ca Language: English - Date: 2012-07-11 15:01:11 Mathematics Connectionism Activation function Monotonic function Perceptron Multilayer perceptron Artificial neuron Types of artificial neural networks Neural networks Cybernetics Science
86	Seminar MPOC: The use of Neural Networks in Ocean Modelling Erik van Sebille June 6, 2005 Abstract This paper gives a short introduction in the use of Neural Networks in Add to Reading List Source URL: erik.vansebille.com Language: English - Date: 2011-03-14 15:29:13 Science Perceptron Backpropagation Artificial neuron Activation function Multilayer perceptron Artificial neural network Cellular neural network Neural networks Machine learning Cybernetics
87	WSEAS TRANSACTIONS on SYSTEMS Michail G. Papoutsidakis, Anthony G. Pipe A Type of Radial Basis Function Technique for Control and Time Series Prediction of Positioning Systems Add to Reading List Source URL: www.wseas.org Language: English - Date: 2014-02-13 07:14:14 Neuroscience Artificial neural network Radial basis function network Perceptron Artificial neuron Multilayer perceptron Connectionism Intelligent control Radial basis function Neural networks Cybernetics Science
88	C++ Neural Networks and Fuzzy Logic - Table of Contents Add to Reading List Source URL: cdn.preterhuman.net Language: English - Date: 2012-10-01 15:30:08 Science Backpropagation Hopfield network Perceptron Fuzzy associative memory Multilayer perceptron Artificial neuron Adaptive resonance theory Fuzzy control system Neural networks Machine learning Cybernetics
89	Implementation of a Neural Network for Retrieving Atmospheric Parameters from Remote Sensing Philippe BARON, Jana MENDROK, and KASAI Yasuko A numerical model of a supervised feedforward Neural Network (NN) has been imple Add to Reading List Source URL: www.nict.go.jp Language: English - Date: 2013-11-21 20:06:19 Artificial intelligence Multilayer perceptron Feedforward neural network Perceptron Activation function Overfitting Principal component analysis Supervised learning Early stopping Neural networks Statistics Cybernetics
90	OZONE FROM GOME DATA USING NEURAL NETWORK TECHNIQUE Martin D. Mu ¨ ller(1) , Anton K. Kaifel(1) , Mark Weber[removed]Center for Solar Energy and Hydrogen Research (ZSW) Add to Reading List Source URL: www.iup.physik.uni-bremen.de Language: English - Date: 2001-12-10 14:17:55 Statistics Ozone Artificial neural network Feedforward neural network Backpropagation Perceptron Multilayer perceptron Artificial neuron Ozone depletion Neural networks Cybernetics Science

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