| dc.contributor.author | Tsoukalas, Lefteri H. | |
| dc.contributor.author | Uhrig, Robert E. | |
| dc.date.accessioned | 2016-04-07T17:50:14Z | |
| dc.date.available | 2016-04-07T17:50:14Z | |
| dc.date.issued | 1997 | |
| dc.identifier.citation | Tsoukalas, Lefteri H. & Uhrig, Robert E. (1997). Fuzzy and neural approaches in engineering. New York : John Wiley. | |
| dc.identifier.uri | http://hdl.handle.net/123456789/909 | |
| dc.description.abstract | 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. | en_US |
| dc.publisher | John Wiley | en_US |
| dc.subject | Neural networks (Computer science) | en_US |
| dc.subject | Fuzzy systems | en_US |
| dc.subject | Engineering -- Data processing | en_US |
| dc.title | Fuzzy and neural approaches in engineering | en_US |
