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Description: 小波神经网络的分类识别，学习率因子，网络动量项因子，网络多分辨级数，网络平移参数 都可自己选。本例输入节点5，输出5。可识别五种信号。-wavelet neural network classification, the learning rate factor, network momentum contribution factor, network multiresolution series. Translation network parameters can be of his own choosing. The five cases input nodes, output 5. Five identifiable signal.
Platform: |
Size: 4179 |
Author: 谢灵心 |
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Description: 小波神经网络的分类识别，学习率因子，网络动量项因子，网络多分辨级数，网络平移参数 都可自己选。本例输入节点5，输出5。可识别五种信号。-wavelet neural network classification, the learning rate factor, network momentum contribution factor, network multiresolution series. Translation network parameters can be of his own choosing. The five cases input nodes, output 5. Five identifiable signal.
Platform: |
Size: 4096 |
Author: 谢灵心 |
Hits: