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The Resource A guide to neural computing applications, Lionel Tarassenko

A guide to neural computing applications, Lionel Tarassenko

Label
A guide to neural computing applications
Title
A guide to neural computing applications
Statement of responsibility
Lionel Tarassenko
Creator
Contributor
Subject
Language
eng
Summary
Neural networks have shown enormous potential for commercial exploitation over the last few years but it is easy to overestimate their capabilities. A few simple algorithms will learn relationships between cause and effect or organise large volumes of data into orderly and informative patterns but they cannot solve every problem and consequently their application must be chosen carefully and appropriately. This book outlines how best to make use of neural networks. It enables newcomers to the technology to construct robust and meaningful non-linear models and classifiers and benefits the more
Cataloging source
N$T
Illustrations
illustrations
Index
index present
Literary form
non fiction
Nature of contents
  • dictionaries
  • bibliography
A guide to neural computing applications, Lionel Tarassenko
Label
A guide to neural computing applications, Lionel Tarassenko
Link
http://libproxy.rpi.edu/login?url=http://www.sciencedirect.com/science/book/9780340705896
Publication
Note
  • On t.p.: Neural Computing Applications Forum
  • "Commissioned for [Neural Computing Applications Forum] members"--Page ix
Related Contributor
Related Location
Related Agents
Related Authorities
Related Subjects
Antecedent source
unknown
Bibliography note
Includes bibliographical references and index
Carrier category
online resource
Carrier category code
cr
Carrier MARC source
rdacarrier
Color
multicolored
Content category
text
Content type code
txt
Content type MARC source
rdacontent
Contents
Front Cover; A Guide to Neural Computing Applications; Copyright Page; Contents; Foreword; Chapter 1. Introduction; Chapter 2. Mathematical background for neural computing; Chapter 3. Managing a neural computing project; Chapter 4. Identifying applications and assessing their feasibility; Chapter 5. Neural computing hardware and software; Chapter 6. Collecting and preparing data; Chapter 7. Design, training and testing of the prototype; Chapter 8. The case studies; Chapter 9. More advanced topics; Appendix A: The error back-propagation algorithm for weight updates in an MLP
http://library.link/vocab/cover_art
https://contentcafe2.btol.com/ContentCafe/Jacket.aspx?Return=1&Type=S&Value=9780080512600&userID=ebsco-test&password=ebsco-test
Dimensions
unknown
http://library.link/vocab/discovery_link
{'f': 'http://opac.lib.rpi.edu/record=b4170303'}
Extent
1 online resource (x, 139 pages)
File format
unknown
Form of item
online
Isbn
9780080512600
Level of compression
unknown
Media category
computer
Media MARC source
rdamedia
Media type code
c
Other physical details
illustrations
Quality assurance targets
not applicable
Reformatting quality
unknown
Reproduction note
Electronic reproduction.
Sound
unknown sound
Specific material designation
remote
System details
Master and use copy. Digital master created according to Benchmark for Faithful Digital Reproductions of Monographs and Serials, Version 1. Digital Library Federation, December 2002.

Library Locations

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      110 8th St, Troy, NY, 12180, US
      42.729766 -73.682577
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