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This paper presents an efficient approach for the use of recursive least square (RLS) learning algorithm in Takagi–Sugeno–Kang neural fuzzy systems. In the use of RLS, reduced covariance matrix, of which the off-diagonal blocks defining the correlation between rules are set to zeros, may be employed to reduce computational burden. However, as reported in the literature, the performance of such an...
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