1) hidden layer
隐含层
1.
Determining the number of BP neural network hidden layer units;
BP神经网络隐含层单元数的确定
2.
Determining the number of hidden layer node and analyzing its influence on networks output are important problems in the application of Artificial Neural Networks (ANN).
运用人工神经网络理论和方法 ,建立了水质评价的 B-P网络模型 ;重点探讨了隐含层节点数的确定方法。
3.
In the modeling of Neural Network (NN), an optimization algorithm based on the principle of golden section to design the number of hidden layer nodes is utilized for increasing the precision of risk evaluation.
同时,在B-P神经网络的建模过程中利用一种基于黄金分割原理的优化算法确定隐含层节点数,提高了风险评价的精度。
2) connotative fault
隐含断层
1.
In order to reflect the influence of complex geologic faults in large underground chamber,the authors put forward a numerical simulation and analysis method for the connotative fault element.
根据大型地下洞室中复杂断层对围岩稳定的影响,提出了隐含断层单元的数值模拟计算方法。
3) Two-hidden-layer
双隐含层
5) the node of hidden layer
隐含层结点
6) the hidden unit
隐含层单元
补充资料：层层加码
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参考词条