Guide to Neural Computing Applications
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Design, training and testing of the prototype

Guide to Neural Computing Applications ◽

10.1016/b978-034070589-6/50007-5 ◽

1998 ◽

pp. 77-97 ◽

Cited By ~ 3

Author(s):

Lionel Tarassenko

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Neural computing hardware and software

Guide to Neural Computing Applications ◽

10.1016/b978-034070589-6/50005-1 ◽

1998 ◽

pp. 59-66 ◽

Cited By ~ 1

Author(s):

Lionel Tarassenko

Keyword(s):

Neural Computing

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The error back-propagation algorithm for weight updates in an MLP

Guide to Neural Computing Applications ◽

10.1016/b978-034070589-6/50010-5 ◽

1998 ◽

pp. 129-130

Keyword(s):

Back Propagation ◽

Back Propagation Algorithm ◽

Error Back Propagation ◽

Propagation Algorithm ◽

Error Back Propagation Algorithm

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Foreword

Guide to Neural Computing Applications ◽

10.1016/b978-034070589-6/50000-2 ◽

1998 ◽

pp. ix-x

Author(s):

Peter Cowley

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The case studies

Guide to Neural Computing Applications ◽

10.1016/b978-034070589-6/50008-7 ◽

1998 ◽

pp. 99-119

Author(s):

Lionel Tarassenko

Keyword(s):

Case Studies

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Use of Bayer's theorem to compensate for different prior probabilities

Guide to Neural Computing Applications ◽

10.1016/b978-034070589-6/50011-7 ◽

1998 ◽

pp. 131-132

Keyword(s):

Prior Probabilities

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Collecting and preparing data

Guide to Neural Computing Applications ◽

10.1016/b978-034070589-6/50006-3 ◽

1998 ◽

pp. 67-75

Author(s):

Lionel Tarassenko

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Managing a neural computing project

Guide to Neural Computing Applications ◽

10.1016/b978-034070589-6/50003-8 ◽

1998 ◽

pp. 37-48

Author(s):

Lionel Tarassenko

Keyword(s):

Neural Computing

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Mathematical background for neural computing

Guide to Neural Computing Applications ◽

10.1016/b978-034070589-6/50002-6 ◽

1998 ◽

pp. 5-35 ◽

Cited By ~ 1

Author(s):

Lionel Tarassenko

Keyword(s):

Neural Computing ◽

Mathematical Background

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Guide to Neural Computing Applications
Latest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Elsevier

More advanced topics

Design, training and testing of the prototype

Neural computing hardware and software

The error back-propagation algorithm for weight updates in an MLP

Foreword

The case studies

Use of Bayer's theorem to compensate for different prior probabilities

Collecting and preparing data

Managing a neural computing project

Mathematical background for neural computing

Export Citation Format

Guide to Neural Computing ApplicationsLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Elsevier

More advanced topics

Design, training and testing of the prototype

Neural computing hardware and software

The error back-propagation algorithm for weight updates in an MLP

Foreword

The case studies

Use of Bayer's theorem to compensate for different prior probabilities

Collecting and preparing data

Managing a neural computing project

Mathematical background for neural computing

Guide to Neural Computing Applications
Latest Publications