Neural Network PC Tools

Neural Network PC Tools

A Practical Guide

1st Edition - October 28, 1990

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  • Editor: Russell C. Eberhart
  • eBook ISBN: 9781483297002

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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:

Key Features

source code listings in C**actual case studies in a wide range of applications, including radar signal detection, stock market prediction, musical composition, ship pattern recognition, and biopotential waveform classification**CASE tools for neural networks and hybrid expert system/neural networks**practical hints and suggestions on when and how to use neural network tools to solve real-world problems.

Readership

Practicing electrical engineers and high-level electronics technicians interested in applying neural network techniques.

Table of Contents

  • 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.

Product details

  • No. of pages: 440
  • Language: English
  • Copyright: © Academic Press 1990
  • Published: October 28, 1990
  • Imprint: Academic Press
  • eBook ISBN: 9781483297002

About the Editor

Russell C. Eberhart

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