Paper
14 June 2023 Design of fuzzy neural network based on matrix semi-tensor product
Pengsheng Li
Author Affiliations +
Proceedings Volume 12725, International Conference on Pure, Applied, and Computational Mathematics (PACM 2023); 1272511 (2023) https://doi.org/10.1117/12.2679164
Event: International Conference on Pure, Applied, and Computational Mathematics (PACM 2023), 2023, Suzhou, China
Abstract
Fuzzy neural network system is composed of fuzzy system and neural network system. In fuzzy the neural network system, the fuzzy logic system and the neural network system can play their respective advantages to achieve functional complementarity. In this paper, a fuzzy system based on semi-tensor product is proposed. Then fuzzy system and neural network are designed for hybrid control. Finally, the corresponding algorithm is proposed. The simulation results show that this method can shorten the control time of the system and improve the control effect.
© (2023) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Pengsheng Li "Design of fuzzy neural network based on matrix semi-tensor product", Proc. SPIE 12725, International Conference on Pure, Applied, and Computational Mathematics (PACM 2023), 1272511 (14 June 2023); https://doi.org/10.1117/12.2679164
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Fuzzy logic

Neural networks

Control systems

Fuzzy systems

Design and modelling

Control systems design

Complex systems

Back to Top