基于自组织选取中心的广义RBF神经网络学习算法
An Algorithm for Generalized RBF Network Based on Self-organizing Selection Center
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摘要: 根据RBF网络要学习的3个参数:基函数的中心、方差和权值,提出了广义RBF网络自组织选取中心的学习算法.该算法首先学习隐层基函数的中心与方差,然后学习输出层权值,仿真结果表明了该算法的有效性.Abstract: An algorithm for generalized RBF neural network was presented through analyzing three parameters: center,variance and weight.First,this self-organizing selects center algorithm learning basis functions in hidden layers.Then the weight of output layers is learned,simulations indicate the efficiency of the algorithm.
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