Fuzzy and Neural Approaches in Engineering

Lefteri H. Tsoukalas

ISBN 10: 0471160032 / ISBN 13: 9780471160038

Editore: John Wiley & Sons Inc, 1997

Riguardo questo articolo

Neural networks and fuzzy systems represent two distinct technologies that deal with uncertainty. Researchers are applying neural networks and fuzzy systems in series, from the use of fuzzy inputs and outputs for neural networks to the employment of individual neural networks to quantify the shape of a fuzzy membership function. Series: Adaptive and Learning Systems for Signal Processing, Communications and Control Series. Num Pages: 600 pages, Illustrations. BIC Classification: PBWX; TBJ; TJ; UYAM; UYF; UYQN. Category: (P) Professional & Vocational. Dimension: 244 x 168 x 38. Weight in Grams: 1016. . 1997. 1st Edition. Hardcover. . . . . Books ship from the US and Ireland.

Codice articolo V9780471160038

Dati bibliografici

• Titolo: Fuzzy and Neural Approaches in Engineering
• Editore: John Wiley & Sons Inc
• Data di pubblicazione: 1997
• Lingua: Inglese
• ISBN 10: 0471160032
• ISBN 13: 9780471160038
• Rilegatura: Rilegato
• Condizione: New

Descrizione articolo

Riassunto

Die ingenieurtechnische Anwendung von Fuzzy Logic und neuronalen Netzen hat in letzter Zeit immer mehr an Bedeutung gewonnen. Dieses Handbuch enthält auf MATLAB basierende ergänzende Programme zu diesen Themen. Die beiliegende Diskette mit zugehörigen Programmtexten rundet das Werk ab.

Informazioni sull?autore

LEFTERI H. TSOUKALAS, PhD, is on the faculty of the School of Nuclear Engineering at Purdue University and is an active industrial consultant and speaker. ROBERT E. UHRIG, PhD, holds a joint appointment as Distinguished Professor in the Nuclear Engineering Department at the University of Tennessee and Distinguished Scientist in the Instrumentation and Control Division at the Oak Ridge National Laboratory. He is the author of Random Noise Techniques in Nuclear Reactor Systems.