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