隐藏层 Hide Layer ; Hidden layer ; Show-Hide layers ; Overlays
隐层生长 Hidden Layer Growing
隐层节点重要度 SHLN
单隐层前馈神经网络 Single-hidden Layer Feedforward Neural Network
双隐层BP神经网络 Double-layers BP Neural Network
潜隐层次模型 latent class model
隐藏所有层 Hide All Layers
隐藏非活动层 Hide Inactive Layers
显示/隐藏图层 Show/Hide Layers ; Show
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。
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.
隐层神经元的数量决定了网络的性能，而性能得到最优需要反复实验和多次错误的尝试。
The number of hidden neurons must be determined so that the network performs its best, one of the methods used often is trial and error.
本文用双隐层BP人工神经网络建立了丝杆螺母副表面边界膜温度特性的磨损自补偿数学模型。
The BP neural network used in the temperature characteristic of the boundary film on the screw-nut pairs surface in the wear-self-compensation system was established.
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