1) quantities of neurous
隐层层数
2) parameters of hidden layer
隐层参数
3) node numbers of hidden layers
隐层结点数
4) the number of hidden nodes
隐层节点数
1.
Aiming at the shortcoming of determining the of hidden nodes of LSRBF neural networks based on the imputting information of training data, in paper, the modified monotone index method based on training data with the whole inputting and outputting information is presented to determine the number of hidden nodes of LSRBF neural networks.
针对仅利用训练样本输入信息进行非监督聚类来确定LSRBF神经网络隐层节点数存在的不足,本文提出了基于训练样本输入输出全部信息的修正单调指数法来确定LSRBF神经网络隐层节点数。
2.
In this paper,the new method is presented to determine the number of hidden nodes of RBF neural networks,it makes use of the whole inputting and outputting information of training samples to establish similar matrix of samples,then to determine the number of hidden nodes of RBF neural networks by maximal matrix element method.
针对基于训练样本输入信息进行非监督聚类来确定RBF神经网络隐层节点数的方法存在利用信息不充分的缺陷,该文提出了一种新的确定RBF神经网络隐层节点数的方法。
6) hidden layer
隐层
1.
By means of the simulation experiment, the conclusion is obtained that two hidden layers must be used to improve the precision of the load forecasting.
通过仿真实验得出要提高电力系统负荷预测精度必须采用两个隐层的结论 ,为了避免由此而引起训练时间的增加 ,必须适当地限制ANN输入变量的数目。
2.
This paper proposes a method which can determine the suitable structure in the hidden layer of a neural network.
提出一种确定神经网络隐层中合理结构的方法。
3.
With discussion on problems of the hidden layer nodes number, the training sample space matrix in training processes, etc.
BP神经网络的收敛性涉及诸如网络初始权重赋值、隐结点个数以及隐层个数等问题。
补充资料：数不胜数
1.数也数不清。形容很多。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条