结合模糊控制、神经网络、遗传算法三种方法的优点 ,提出了一种基于遗传算法的模糊神经网络控制器 ,并分析了其网络结构和离线学习的方法 遗传算法基于全局优化策略 ,避免了反向传播学习算法易陷入局部最优的缺陷 仿真实验和在汽车防抱死制动系统中的应用表明这种控制方案是有效的 ,可行的 Combining with the advantages of three methods of fuzzy control, neural network and genetic algorithm, a fuzzy neural network controller based on genetic algorithm is proposed and its network structure and offline learning method are analyzed. Genetic algorithm is based on global optimization strategy and avoids anti- The algorithm of propagation learning is apt to fall into the local optimal defect simulation experiment and its application in the anti-lock brake system of automobile shows that this control scheme is effective and feasible