A novel method using entropy to estimate the number of hidden units was proposed. The simulation outcome showed that the effect of BP model with the number of hidden units generated by entropy performed better than other model.
通过数据模拟与现有几种隐单元数确定方法的效果进行比较，熵法构造的模型的判别效果优于其它隐单元数模型。
参考来源 - BP神经网络构建与优化的研究及其在医学统计中的应用·2,447,543篇论文数据，部分数据来源于NoteExpress
Hidden units combination and deletion in the process of adjusting data centers and spread constants are also introduced.
数据中心和扩展常数调整过程中还引入了隐节点的合并操作和删除操作。
Training a multilayer neural net by BP algorithm is slow and it is difficult to choose the number of hidden units and layers in advance.
使用BP算法训练多层网络的速度很慢而且事先难于确定隐节点和隐层的适当数目。
The structure learning decides the proper connection types and the number of hidden units which represent fuzzy logic rules and the number of fuzzy partitions.
结构学习确定了表示了模糊规则和模糊分段数的连接类型以及隐节点数目。
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