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[null,"1.","Record Nr.",null,"UNINA9910972118103321"]
[null,null,"Autore",null,"Rutkowski Leszek"]
[null,null,"Titolo",null,"Flexible Neuro-Fuzzy Systems : Structures, Learning and Performance Evaluation"]
[null,null,"Pubbl/distr/stampa",null,"New York, NY : , : Springer, , 2004"]
[{"$nulls":4},"©2004"]
[null,null,"ISBN",null,"1-4020-8043-3"]
[null,null,"Edizione",null,"[1st ed.]"]
[null,null,"Descrizione fisica",null,"1 online resource (294 pages)"]
[null,null,"Disciplina",null,"006.3/2"]
[null,null,"Soggetti",null,"Neural networks (Computer science)"]
[{"$nulls":4},"Fuzzy systems"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,"Nota di contenuto",null,"Intro -- Contents."]
[null,null,null,"Sommario/riassunto","Flexible Neuro-Fuzzy Systems is the first professional literature about the new class of powerful, flexible fuzzy systems. The author incorporates various flexibility parameters to the construction of neuro-fuzzy systems. This approach dramatically improves their performance, allowing the systems to perfectly represent the pattern encoded in data. Flexible Neuro-Fuzzy Systems is the only book that proposes a flexible approach to fuzzy modeling and fills the gap in existing literature. This book introduces new fuzzy systems which outperform previous approaches to system modeling and classification, and has the following features: Flexible Neuro-Fuzzy Systems is designed for a professional audience composed of researchers and practitioners in industry. This book is also suitable as a secondary text for graduate-level students in computer science and engineering."]