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Machine learning / Science / Mind / Artificial neural network / Classical conditioning / Supervised learning / Perceptron / Generalized Hebbian Algorithm / Unsupervised learning / Neural networks / Computational neuroscience / Cybernetics


WSC' 03 Sample Paper
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Document Date: 2013-01-15 21:55:07

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City

Berlin / Cambridge / Beijing / Darien / Cairo / Reading / San Diego / New York / /

Company

Simulating Neural Networks / Higher Education Press / Prentice-Hall / Neural Networks / No. / Ghoaimy M. A. / /

Country

Egypt / United States / China / Cyprus / /

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Event

Product Recall / Product Issues / /

Facility

Zagazig University / /

IndustryTerm

students / decisive solution / feedforward network / response pattern processing / computational processing / /

Organization

Animal Intelligence / MIT / Zagazig University / Faculty of Specified Education / Oxford University / Faculty of Specific Education / Ain Shams University Faculty of Engineering / Computer & Systems Dpt. / /

Person

M. Hassan Educational / Jeanne S. Chall / Keith Rayner / David Pesetsky / Charles A. Perfetti / Barbara R. Foorman / Mark S. Seiedenberg / Adam Hiler / Hassan M. Hassan / Hassan Hampson / /

Position

AUTHOR / Neural Network model for Analysis / teacher / otherwise physical supervisor / T.V.P. / noisy teacher / /

Product

process of such reading patterns / /

ProgrammingLanguage

Mathematica / C / /

ProvinceOrState

New York / Connecticut / /

Technology

generalized Hebbian algorithm / Bioinformatics / NEURAL NETWORK / artificial intelligence / Hebbian algorithm / Simulation / LMS algorithm / modified following general Hebbian algorithm / /

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