The output of each input layer node is fed to each of six hidden-layer nodes, which in turn feed three output nodes.
再将各个输入层节点的输出 提供给 6 个隐藏层节点，这些隐藏层节点将依次提供给 3 个输出接点。
Meanwhile optimization theory based HCM clustering algorithm is used to cluster sample data to determine the number of node of hidden layer, so that the efficiency of RBF network in use is high.
同时采用基于优化原理的HCM算法实现聚类过程，来确定R BF网络的隐含层节点数，使网络的利用效率较高。
According to the characteristics and working manners of neural network, the golden section principle which is used in living abroad is introduced to confirm the node of hidden layer of network.
根据神经网络的特性及其运作方式，将日常广泛使用的黄金分割原理用于网络隐节点个数的确定中。
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