DocumentCode :
2447802
Title :
Training a fuzzy neural net
Author :
Buckley, J.J.
Author_Institution :
Dept. of Math., Alabama Univ., Birmingham, AL, USA
fYear :
1994
fDate :
18-21 Dec 1994
Firstpage :
73
Lastpage :
77
Abstract :
In this paper a fuzzy neural net is a layered, feedforward, neural net that has fuzzy signals and/or has fuzzy weights and bias terms. We are interested in the capabilities of fuzzy neural nets. In this paper we concentrate on the case where the signals are fuzzy but the weights and bias terms are all real
Keywords :
feedforward neural nets; fuzzy neural nets; learning (artificial intelligence); bias terms; feedforward neural net; fuzzy neural net training; fuzzy signals; fuzzy weights; Arithmetic; Feedforward neural networks; Feedforward systems; Fuzzy neural networks; Fuzzy sets; Mathematics; Neural networks; Neurons; Signal mapping; Transfer functions;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Fuzzy Information Processing Society Biannual Conference, 1994. Industrial Fuzzy Control and Intelligent Systems Conference, and the NASA Joint Technology Workshop on Neural Networks and Fuzzy Logic,
Conference_Location :
San Antonio, TX
Print_ISBN :
0-7803-2125-1
Type :
conf
DOI :
10.1109/IJCF.1994.375148
Filename :
375148
Link To Document :
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