Selecting Input Variables for Fuzzy Models
Author:
Affiliation:
1. Rockwell Science Center, 1049 Camino Dos Rios, Thousand Oaks, CA 91360, e-mail: slc@risc.rockwell.com
Publisher
IOS Press
Subject
Artificial Intelligence,General Engineering,Statistics and Probability
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4. A T–S fuzzy model identification approach based on evolving MIT2-FCRM and WOS-ELM algorithm;Engineering Applications of Artificial Intelligence;2020-06
5. T–S Fuzzy Model Identification with Sparse Bayesian Techniques;Neural Processing Letters;2019-07-02
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