Feedforward networks use back propagation algorithm to train a multi-layer network. After training, the multi-layer network can fit the function in the data space very well.
前向网络利用反向传播算法训练多层网络，使训练后的网络较好地拟合样本空间中各点的函数值。
Using the basic principle of analog parallel harmonics measurement and a special multi-layer feedforward neural network, a corresponding harmonics measurement on-line is built.
通过构造一个特殊的多层前向神经网络，利用模拟并行测量装置的基本原理，设计了相应的谐波监测电路。
Using the basic principle of analog parallel harmonics measurement and a special multi-layer feedforward neural network, a corresponding harmonics measurement on-line is built.
通过构造一个特殊的多层前向神经网络，利用模拟并行测量装置的基本原理，设计了相应的谐波监测电路。
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