DocumentCode :
2232842
Title :
Temporal neurofuzzy MAR algorithm for time series data in rule-based systems
Author :
Sisman, N. Arzu ; Alpaslan, Ferda N.
Author_Institution :
Dept. of Comput. Eng., Middle East Tech. Univ., Ankara, Turkey
Volume :
2
fYear :
1998
fDate :
21-23 Apr 1998
Firstpage :
316
Abstract :
Introduces a neurofuzzy model for constructing a knowledge-base of temporal fuzzy rules obtained by a MAR (multivariate autoregressive) algorithm. The model described contains two main parts which are fuzzy-rule extraction and storage of them. The fuzzy rules are obtained from time series data using the MAR algorithm. Fuzzy linear functions with fuzzy number coefficients are used. The extracted rules are fed into the temporal fuzzy multilayer feedforward neural network
Keywords :
expert systems; feedforward neural nets; fuzzy neural nets; multilayer perceptrons; temporal logic; time series; fuzzy linear functions; fuzzy number coefficients; fuzzy-rule extraction; rule-based systems; temporal fuzzy multilayer feedforward neural network; temporal fuzzy rules; temporal neurofuzzy multivariate autoregressive algorithm; Artificial neural networks; Data mining; Expert systems; Fuzzy neural networks; Fuzzy systems; Humans; Hybrid intelligent systems; Knowledge based systems; Multi-layer neural network; Neural networks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Knowledge-Based Intelligent Electronic Systems, 1998. Proceedings KES '98. 1998 Second International Conference on
Conference_Location :
Adelaide, SA
Print_ISBN :
0-7803-4316-6
Type :
conf
DOI :
10.1109/KES.1998.725928
Filename :
725928
Link To Document :
بازگشت