BP神经网络网络结构优化问题的研究

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将灰色关联分析法应用到BP神经网络隐层结点数的确定中,实现了BP神经网络网络结构的优化,提高了网络的预测精度.仿真结果表明这种方法非常有效,同时也对BP神经网络的进一步研究提供了一种全新的思路. The application of gray relational analysis to the determination of the number of hidden layer nodes in BP neural network has realized the optimization of the network structure of BP neural network and improved the prediction accuracy of the network.The simulation results show that this method is very effective and the BP neural network Further research provides a new way of thinking.
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