Neural Network PC Tools
A Practical Guide
Russell C. Eberhart(Editor)
Academic Press
Published on 16. November 1990
Book
Hardback
440 pages
978-0-12-228640-7 (ISBN)
Description
This is the first practical guide that enables you to actually work with artificial neural networks on your personal computer. It provides basic information on neural networks, as well as the following special features:
Reviews / Votes
An exposition on the practical applications of neural networks has been reatly needed. I believe that this book fulfills that need in an extremely fine fashion....You really don't need a supercomputer, a million dollars, and an interdisciplinary team of experts to put neural networks to work. All you need is a personal computer and this book.--Bernard Widrow
Neural Network PC Tools ushers in a new era both for artificial neural networks (ANNS) and ANN books...Neural Network PC Tools is a worthwhile book for anyone who wants to use the PC for simulating neural networks.
--IEEE TRANSACTIONS ON NEURAL NETWORKS
Another fine book for developers is Neural Network PC Tools: A Practical Guide (San Diego, Calif.: Academic Press, 1990) edited by Russell Eberhart and Roy Dobbins. . . . I like the editors' and authors' common sense, personal, and down-to-development approach to the topics.
--AI EXPERT
More details
Language
English
Place of publication
San Diego
United States
Publishing group
Elsevier Science Publishing Co Inc
Target group
College/higher education
Professional and scholarly
Weight
740 gr
ISBN-13
978-0-12-228640-7 (9780122286407)
Copyright in bibliographic data is held by Nielsen Book Services Limited or its licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions

E-Book
06/2014
Academic Press
€54.95
Available for download
Content
Introduction. Background and History of Neural Networks. Implementations. Systems Considerations. Software Tools. Development Environments. Hardware Implementations. Performance Metrics. Network Analysis. Expert Networks. Case Study I: The Detection of EEG Spikes. Case Study II: Radar Signal Processing. Case Study III: Technology in Search of a Buck. Case Study IV: Optical Character Recognition. Case Study V: Making Music. Appendices. Glossary. References. Index.