In order to prevent causing network incorrectly incline with one of fault type after training, the number of training samples for every fault should be allocated averagely.

 
  • 為了防止人為的造成訓練后的網(wǎng)絡(luò )過(guò)多的傾向于某一故障類(lèi)型,各故障類(lèi)型的訓練樣本數量不應相差太多。
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