| Compensatory Genetic Fuzzy Neural Networks and Their Applications Contributor(s): Kandel, Abraham (Author), Zhang, Yan-Qing (Author) |
|
 |
ISBN: 9810233493 ISBN-13: 9789810233495 Publisher: World Scientific Publishing Company OUR PRICE: $78.85 Product Type: Hardcover Published: August 1998 Annotation: This book presents a powerful hybrid intelligent system based on fuzzy logic, neural networks, genetic algorithms and other intelligent techniques. The new compensatory genetic fuzzy neural networks have been widely used in fuzzy control, nonlinear system modeling, compression of a fuzzy rule base, expansion of a sparse fuzzy rule base, fuzzy knowledge discovery, time series prediction, fuzzy games and pattern recognition. This effective soft computing system is able to perform both linguistic-word-level fuzzy reasoning and numerical-date-level information processing. The book also proposes various novel soft computing techniques. |
| Additional Information |
| BISAC Categories: - Computers | Intelligence (ai) & Semantics - Computers | Neural Networks - Computers | Networking - General |
| Dewey: 006.3 |
| LCCN: 97044774 |
| Series: Machine Perception and Artificial Intelligence |
| Physical Information: 0.68" H x 6.31" W x 8.94" (0.97 lbs) 200 pages |
| Descriptions, Reviews, Etc. |
| Publisher Description: This book presents a powerful hybrid intelligent system based on fuzzy logic, neural networks, genetic algorithms and related intelligent techniques. The new compensatory genetic fuzzy neural networks have been widely used in fuzzy control, nonlinear system modeling, compression of a fuzzy rule base, expansion of a sparse fuzzy rule base, fuzzy knowledge discovery, time series prediction, fuzzy games and pattern recognition. This effective soft computing system is able to perform both linguistic-word-level fuzzy reasoning and numerical-data-level information processing. The book also proposes various novel soft computing techniques. |