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- W3202504734 abstract "To solve the identification of a fuzzy cognitive map (FCM) with the unknown slope parameter, we propose a least-squares algorithm with slope parameter optimization for FCM in this paper. Firstly, all possible structures of FCM are decomposed according to the column vectors of the adjacency matrix. Subsequently, a functional index function is constructed to evaluate the optimal structures and weights of FCM. Then, multiple rounds of optimization search for slope parameter are performed. The weights of all structures are estimated from the observed sample data, and the optimal solution of this round is selected by the minimum index value. The range of the slope parameter is compressed according to the optimal solution until the performance is satisfied. Finally, the experiment results show the effectiveness of the proposed algorithm." @default.
- W3202504734 created "2021-10-11" @default.
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- W3202504734 date "2021-06-18" @default.
- W3202504734 modified "2023-09-23" @default.
- W3202504734 title "Study on least squares identification algorithm with slope parameter search optimization for fuzzy cognitive map" @default.
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- W3202504734 doi "https://doi.org/10.1109/spac53836.2021.9539936" @default.
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