RBF神经网络理论及其在控制中的应用
THE THEORY OF RBF NEURAL NETWORK AND ITS APPLICATION IN CONTROL
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摘要: 对RBF神经网络的结构、分类、函数逼近理论及训练方法进行了综述，并且对RBF网络的优点及问题作了分析，同时介绍了目前RBF网络在控制方面主要应用情况，最后提出了RBF网络在控制中的研究及应用新方向．Abstract: This paper first surveys the structure,types,approximation theory,and training methods of the RBF neural network,then analyzes the advant ages and problems. At the sametime,some typical applications in control have been discussed. At last the new trends of the applications in control are pointed out.
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