Infrared Technology, Volume. 43, Issue 1, 37(2021)

Recognition Algorithm for an Infrared Flame Detector Based on an Improved Takagi-Sugeno Fuzzy Radial Basis Function Neural Network

Hongwei FENG1、*, Yuanyuan LIU2,3, Ziteng WEN3, and Yong TAN3
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  • 1[in Chinese]
  • 2[in Chinese]
  • 3[in Chinese]
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    References(3)

    [3] [3] YAO Lina, ZHANG Yanna. Fault diagnosis and model predictive tolerant control for non-Gaussian stochastic distribution control systems based on T-S fuzzy model[J]. International Journal of Control Automation & Systems, 2017, 15(1): 2921-2929.

    [5] [5] WU Qinghui, WANG Xinjun, SHEN Qinghuan. Research on dynamic modeling and simulation of axial-flow pumping system based on RBF neural network[J]. Neurocomputing, 2016, 186: 200-206.

    [7] [7] JUANG Chiafeng, CHIU Shihhsuan, CHANG Shuwew. A Self-Organizing TS-Type Fuzzy Network With Support Vector Learning and its Application to Classification Problems[J]. IEEE Transactions on Fuzzy Systems, 2007, 15(5): 998-1008.

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    FENG Hongwei, LIU Yuanyuan, WEN Ziteng, TAN Yong. Recognition Algorithm for an Infrared Flame Detector Based on an Improved Takagi-Sugeno Fuzzy Radial Basis Function Neural Network[J]. Infrared Technology, 2021, 43(1): 37

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    Paper Information

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    Received: Apr. 19, 2020

    Accepted: --

    Published Online: Apr. 15, 2021

    The Author Email: Hongwei FENG (fenghw@wxit.edu.cn)

    DOI:

    CSTR:32186.14.

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