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- W2363134039 abstract "In order to achieve two promising properties: local recurrence and interpreting ability, a new topology of recurrent TSK is presented in this paper, whose conclusion part has quadric form. The local recurrence of the conclusion part results in simple dynamic derivative, which makes it very convenient for training procedure. The if-then rules interpreted from the new network is more comprehensible than the other TSK networks that are based on independent transformations or G-FGS neurons. Simulation proves the favorable identification ability of our network for dynamic system, which means quadric operation is one feasible mode in the structure design of recurrent TSK networks." @default.
- W2363134039 created "2016-06-24" @default.
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- W2363134039 date "2006-01-01" @default.
- W2363134039 modified "2023-09-24" @default.
- W2363134039 title "Structure Design of TSK network:an Local Recurrent Network Based on Quadric Operation" @default.
- W2363134039 hasPublicationYear "2006" @default.
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