Fuzzy and neural approaches in engineering

Tsoukalas, Lefteri H.; Uhrig, Robert E.

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