Temporal neuro-fuzzy MAR Algorithm for time series data in rule-based systems

Date

1998-04-23

Author

Sisman, NA
Alpaslan, Ferda Nur

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This paper introduces a new neuro-fuzzy model for constructing a knowledge-base of temporal fuzzy rules obtained by 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 MAR Algorithm. Fuzzy linear function with fuzzy number coefficients are used. The extracted rules are fed into the temporal fuzzy multilayer feedforward neural network.

Subject Keywords

New neuro-fuzzy model

URI

https://hdl.handle.net/11511/53184

Conference Name

2nd International Conference on Knowledge-Based Intelligent Electronic Systems (KES 98)

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Department of Computer Engineering, Conference / Seminar

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Citation Formats

N. Sisman and F. N. Alpaslan, “Temporal neuro-fuzzy MAR Algorithm for time series data in rule-based systems,” presented at the 2nd International Conference on Knowledge-Based Intelligent Electronic Systems (KES 98), Adelaide, AUSTRALIA, 1998, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/53184.