Introduction to Neural Networks

✍ Scribed by Architecture Technology Corpor. (Auth.)

• Publisher: Elsevier Advanced Technology
• Year: 1991
• Tongue: English
• Leaves: 63
• Category: Library

✦ Synopsis

Please note this is a Short Discount publication. Neural network technology has been a curiosity since the early days of computing. Research in the area went into a near dormant state for a number of years, but recently there has been a new increased interest in the subject. This has been due to a number of factors: interest in the military, apparent ease of implementation, and the ability of the technology to develop computers which are able to learn from experience. This report summarizes the topic, providing the reader with an overview of the field and its potential direction. Included is an introduction to the technology and its future directions, as well as a set of examples of possible applications and potential implementation technologies

✦ Table of Contents

Content:
Front Matter, Page ifc1
Copyright, Page ifc1
DISCLAIMER, Page ifc2
List of Figures, Page iv
List of Tables, Page iv
1 - Overview, Pages 1-5
2 - Neural Networks and Other Information Processing Approaches, Pages 7-14
3 - Tasks Neural Networks Perform and Representative Models, Pages 15-25
4 - Detailed Approaches, Pages 27-34
5 - Global Issues, Pages 35-43
6 - Technologies and Tools for Implementing Neural Networks, Pages 45-47
7 - Issues in Neural Network Research, Pages 49-50
8 - Neural Network Semiconductors, Pages 51-53
9 - Major Vendors Plan Thrusts, Page 55
10 - Other Products–Interfaces, Boards, and Software Packages, Pages 57-58
11 - Conclusion, Page 59
12 - Further Information, Page 61
Key Technical Concept References, Pages 63-66