designing hidden layer nodes 隐层结点设计
If the number of the BP neural network’hidden layer nodes is decided according to needing,a neural network hasing three layers can approximate a continuous function with any precision.
如果BP神经网络的隐层节点数可以根据需要自由决定，那么一个三层神经网络可以实现以任意精度近似任意连续函数。
参考来源 - 小波神经网络及其应用·2,447,543篇论文数据，部分数据来源于NoteExpress
First, the usual ways that are employed to choose the number of RBFNN's hidden layer nodes are analyzed and compared.
首先对目前常用的RBF网络的隐层节点数的选择办法进行了分析，并指出它们的优点和不足。
Provided with the Algorithm to determine the pre-possessing of sample data, learning rate, momentum factor, the Number of Hidden Layer Nodes, etc.
给出了样本数据的预处理以及学习因子、动量系数、隐含层结点数等诚然定方法。
As for it, by improving learning algorithm of traditional RBF neural network, a new dynamic cluster-based self-generated method for hidden layer nodes is proposed.
对此，本文改进了R BF神经网络的学习算法，提出了一种基于聚类的动态自生成隐含层节点的思想。
应用推荐