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Improved adaptive neuro-fuzzy inference system

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Abstract

This paper introduces a new type of Adaptive Neuro-fuzzy System, denoted as IANFIS (Improved Adaptive Neuro-fuszzy Inference System). The new structure is realized by the insertion of the error of training of ANFIS in the third layer of this system. The recurrence of the error of training will increase the capability of convergence and the robustness of ANFIS. The proposed IANFIS system is applied to make the identification of nonlinear functions, and the obtained results are compared with these obtained by usual ANFIS to verify the effectiveness of the proposed adaptive neuro-fuzzy system.

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  1. Oran, Algeria

    Tarek Benmiloud

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  1. Tarek Benmiloud
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Correspondence to Tarek Benmiloud.

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Benmiloud, T. Improved adaptive neuro-fuzzy inference system. Neural Comput & Applic 21, 575–582 (2012). https://doi.org/10.1007/s00521-011-0607-5

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