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Proceedings Paper

Analysis of universal-logics-based fuzzy neural networks
Author(s): Bin Lu; Huacan He
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Paper 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.

Paper Details

Date Published: 2 September 2003
PDF: 8 pages
Proc. SPIE 5253, Fifth International Symposium on Instrumentation and Control Technology, (2 September 2003); doi: 10.1117/12.522106
Show Author Affiliations
Bin Lu, Northwestern Polytechnic Univ. (China)
Huacan He, Northwestern Polytechnic Univ. (China)


Published in SPIE Proceedings Vol. 5253:
Fifth International Symposium on Instrumentation and Control Technology
Guangjun Zhang; Huijie Zhao; Zhongyu Wang, Editor(s)

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