Design of fuzzy neural network based on matrix semi-tensor product

Pengsheng Li
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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.
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基于矩阵半张量积的模糊神经网络设计
模糊神经网络系统由模糊系统和神经网络系统组成。在模糊神经网络系统中,模糊逻辑系统和神经网络系统可以发挥各自的优势,实现功能互补。本文提出了一种基于半张量积的模糊系统。然后设计了模糊系统和神经网络进行混合控制。最后,提出了相应的算法。仿真结果表明,该方法可以缩短系统的控制时间,提高控制效果。
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