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