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- W2365352721 abstract "The parameters can not strongly converge to the true values when using traditional least squares cost function with noisy input data. This problem can be solved by a novel cost function which contains error variables. The cost function is extended to multi input single output system, and the error variables are obtained through learning algorithm to avoid repeated measurement. The simulation results show the efficiency of this algorithm." @default.
- W2365352721 created "2016-06-24" @default.
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- W2365352721 date "2004-01-01" @default.
- W2365352721 modified "2023-09-25" @default.
- W2365352721 title "Parameter Learning Algorithm of Fuzzy Logic System with Noisy Inputs" @default.
- W2365352721 hasPublicationYear "2004" @default.
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