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

Hongwei FENG; Yuanyuan LIU; Ziteng WEN; Yong TAN

Journals >Infrared Technology >Volume 43 >Issue 1 >Page 37 > Article

Infrared Technology
Vol. 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 FENG^1、*, Yuanyuan LIU^2、3, Ziteng WEN³, and Yong TAN³

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¹[in Chinese]

²[in Chinese]

³[in Chinese]

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DOI: Cite this Article

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 Copy Citation Text

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References

[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] 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] 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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