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A fast approach for automatic generation of fuzzy rules by generalized dynamic fuzzy neural networks

Wu, SQ, Er, MJ and Gao, Y (2001) A fast approach for automatic generation of fuzzy rules by generalized dynamic fuzzy neural networks IEEE TRANSACTIONS ON FUZZY SYSTEMS, 9 (4). pp. 578-594.

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Item Type: Article
Authors :
NameEmailORCID
Wu, SQUNSPECIFIEDUNSPECIFIED
Er, MJUNSPECIFIEDUNSPECIFIED
Gao, YUNSPECIFIEDUNSPECIFIED
Date : 1 August 2001
Uncontrolled Keywords : Science & Technology, Technology, Computer Science, Artificial Intelligence, Engineering, Electrical & Electronic, Computer Science, Engineering, COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE, ENGINEERING, ELECTRICAL & ELECTRONIC, ellipsoidal basis function (EBF), function approximation, fuzzy rule extraction, on-line self-organizing learning, Takagi-Sugeno-Kang (TSK) fuzzy reasoning, FUNCTION APPROXIMATION, CONTROL-SYSTEMS, NUMERICAL DATA, ALGORITHM, EXAMPLES
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Depositing User : Symplectic Elements
Date Deposited : 28 Mar 2017 14:38
Last Modified : 31 Oct 2017 14:24
URI: http://epubs.surrey.ac.uk/id/eprint/199703

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