DocumentCode :
315600
Title :
A temporal neurofuzzy model for rule-based systems
Author :
Alpaslan, F.N. ; Bilen, E. ; Jain, L.
Author_Institution :
Dept. of Comput. Eng., Middle East Tech. Univ., Ankara, Turkey
Volume :
2
fYear :
1997
fDate :
27-23 May 1997
Firstpage :
690
Abstract :
The paper reports the development of a temporal neuro-fuzzy model using fuzzy reasoning which is capable of representing the temporal information. The system is implemented as a feedforward multilayer neural network. The learning algorithm is a modification of the backpropagation algorithm. The system is aimed to be used in a medical diagnosis systems
Keywords :
backpropagation; diagnostic reasoning; feedforward neural nets; fuzzy neural nets; knowledge based systems; medical diagnostic computing; medical expert systems; multilayer perceptrons; patient diagnosis; temporal reasoning; uncertainty handling; backpropagation algorithm; feedforward multilayer neural network; fuzzy reasoning; learning algorithm; medical diagnosis systems; rule-based systems; temporal information representation; temporal neuro-fuzzy model; Artificial neural networks; Backpropagation algorithms; Fuzzy neural networks; Fuzzy reasoning; Fuzzy sets; Fuzzy systems; Knowledge based systems; Knowledge engineering; Multi-layer neural network; Neural networks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Knowledge-Based Intelligent Electronic Systems, 1997. KES '97. Proceedings., 1997 First International Conference on
Conference_Location :
Adelaide, SA
Print_ISBN :
0-7803-3755-7
Type :
conf
DOI :
10.1109/KES.1997.619454
Filename :
619454
Link To Document :
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