This article has been accepted for inclusion in a future issue of this journal. Content is final as presented, with the exception of pagination. IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS 1 Brief Papers - Rescorla–Wagner model - Document - PDFSEARCH.IO - Document Search Engine

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	This article has been accepted for inclusion in a future issue of this journal. Content is final as presented, with the exception of pagination. IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS 1 Brief Papers Add to Reading List Document Date: 2012-07-11 15:01:06 Open Document File Size: 151,98 KB Share Result on Facebook City Washington / DC / Edmonton / Cambridge / Malden / Bristol / New York / Chicago / / Company NEURAL NETWORKS AND LEARNING SYSTEMS / MIT Press / Institute Physics Publishing / Open Court Publishing / / Country Canada / United Kingdom / / Currency USD / / / Facility University of Alberta / / IndustryTerm to artificial neural networks / adaptive networks / neural network / to simple neural networks / adaptive systems / artificial neural network / connectionist networks / feedback networks / connectionist network / / Organization MIT / Organization of Learning / Cambridge Univ. / Department of Psychology / University of Alberta / / Person D. E. Rumelhart / Nat / R. J. Williams / J. Robbins / Michael R. W. Dawson / G. E. Hinton / / Position adaptive network model / ” J. Experim / economist / intuitive statistician / ” Psychol / Wagner model for the same contingency problem / Psychol.-General / vol / intuitive statistician / model / ” J. Math / probabilistic model for information storage / / ProgrammingLanguage C / / ProvinceOrState Alberta / / Technology neural network / Digital Object Identifier / Parallel Processing / / SocialTag Cybernetics Neuroscience Perceptron Artificial neural network Rescorla–Wagner model Connectionism Supervised learning Logistic function Activation function Neural networks