2 September 2003 Analysis of universal-logics-based fuzzy neural networks
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Proceedings Volume 5253, Fifth International Symposium on Instrumentation and Control Technology; (2003) https://doi.org/10.1117/12.522106
Event: Fifth International Symposium on Instrumentation and Control Technology, 2003, Beijing, China
Abstract
To improve the inference performance of fuzzy neural networks (FNN), this paper presents a new type of FNN where the Universal Logics are employed, which makes it possible to enhance the performance of FNN not only by tuning the shapes of the membership functions, but also by tuning the parameters of the fuzzy inference structure. Finally, the simulation result in process control proves its effectiveness.
© (2003) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Bin Lu, Bin Lu, Huacan He, Huacan He, } "Analysis of universal-logics-based fuzzy neural networks", Proc. SPIE 5253, Fifth International Symposium on Instrumentation and Control Technology, (2 September 2003); doi: 10.1117/12.522106; https://doi.org/10.1117/12.522106
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