With two hidden layers MLNN was trained using morphological and color features of the rice grains extracted from their images as input.
每个多层前向神经网络包含两个隐含层，以大米图像的形状特征和颜色特征作为网络输入。
With two hidden layers MLNN was trained using morphological and color features of the rice grains extracted from their images as input.
每个多层前向神经网络包含两个隐含层，以大米图像的形状特征和颜色特征作为网络输入。
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