车辆驾驶员的模糊神经控制模型

设计了一个用于车辆运动控制的六层结构的前向模糊神经网络，介绍了每一层神经元的设置及功能，并给出了具体有效的学习算法，从而建立了一个驾驶员模糊神经控制模型。该控制模型可在车辆行驶过程中自行“品尝”车辆的运动特性，自学习和调整对不同外界条件和不同控制对象的操纵策略，适应能力强，使用范围广，具有一定程度的智能。

Neuro fuzzy Control Model of Driver

A six layered neuro fuzzy network controller was designed to control the directional movement of vehicles. The organization and the function of neurons in every layer of the networks was introduced, and its learning algorithm was given. The controller gets the feel of the vehicle moving characteristics, and adjusts itself to varying environment and different vehicles. The neuro fuzzy control model possesses strong adaptability, very wide scope of application, and a certain degree of intelligence.