| Author: |
|
Lefteri H. Tsoukalas
|
| Title: |
 |
Fuzzy and Neural Approaches in Engineering (Adaptive and Learning Systems for Signal Processing, Communications and Control Series) |
| Moochable copies: |
|
No copies available |
| Amazon suggests: |
|
| Topics: |
|
| Published in: |
|
English |
| Binding: |
|
Hardcover |
| Pages: |
|
600 |
| Date: |
|
1997-02-05 |
| ISBN: |
|
0471160032 |
| Publisher: |
|
Wiley-Interscience |
| Weight: |
|
2.15 pounds |
| Size: |
|
6.34 x 1.38 x 9.45 inches |
| Edition: |
|
1 |
Amazon prices: |
|
|
|
|
|
| Description: |
|
Product Description
Neural networks and fuzzy systems represent two distinct technologies that deal with uncertainty. This definitive book presents the fundamentals of both technologies, and demonstrates how to combine the unique capabilities of these two technologies for the greatest advantage. Steering clear of unnecessary mathematics, the book highlights a wide range of dynamic possibilities and offers numerous examples to illuminate key concepts. It also explores the value of relating genetic algorithms and expert systems to fuzzy and neural technologies.
|
| URL: |
|
http://bookmooch.com/0471160032 |
|
|
