Then, wavelet packet was used to decompose and de-noise the milling force signal, as well as extracts the signals 'energy characteristics as import vectors of BP Neural Network.
然后,采用小波包对采集的铣削力信号进行分解和消噪处理,并提取其能量特征作为BP神经网络的输入向量。
Then, wavelet packet was used to decompose and de-noise the milling force signal, as well as extracts the signals 'energy characteristics as import vectors of BP Neural Network.
然后,采用小波包对采集的铣削力信号进行分解和消噪处理,并提取其能量特征作为BP神经网络的输入向量。
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