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。
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。
Aiming at the slow convergence rate of BP neural network, append a correlative node on hidden layer, improve the adaptive ability and rate of studying of neural network.
针对BP算法收敛速度慢的特点，在隐含层上加入了关联节点，改善了网络的学习速率和适应能力。
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