基于神经网络和模糊理论的智能控制技术

Intelligent Control Based on Neural Network and Fuzzy Theory

将神经网络方法和模糊理论结合起来，讨论一种基于神经网络（NN）和模糊理论实现智能控制的方法。仿真表明这类智能控制器可用于难以建立数学模型的控制系统。

This paper presents a method of intelligent control based on neural network and fuzzy theory. Thesimulation researches have verified the proposed approach which can be applied to control systems where it isdefficult to build accurate math model.