基于规则系统中时间序列数据的时间神经模糊MAR算法

1998 Second International Conference. Knowledge-Based Intelligent Electronic Systems. Proceedings KES'98 (Cat. No.98EX111) Pub Date : 1998-04-21 DOI:10.1109/KES.1998.725928

N. Sisman, F. Alpaslan

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引用次数: 3

摘要

介绍了一种神经模糊模型，用于构建由多元自回归算法获得的时间模糊规则知识库。所描述的模型主要包括模糊规则提取和模糊规则存储两个部分。利用MAR算法从时间序列数据中获得模糊规则。采用带有模糊数系数的模糊线性函数。将提取的规则输入到时间模糊多层前馈神经网络中。

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Temporal neurofuzzy MAR algorithm for time series data in rule-based systems

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.

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来源期刊

1998 Second International Conference. Knowledge-Based Intelligent Electronic Systems. Proceedings KES'98 (Cat. No.98EX111)

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