Over-fitting in feedforward multilayer neural network was studied in this paper.
对多层前传网络的过拟合问题进行了探讨。
The examples show that the Quick BP Algorithm has good capability and is applicable to the multilayer neural network.
经过对实际算例的模拟，结果表明本文给出的快速BP算法是一种适用于多层神经网络的、性能忧良的学习算法。
The transformed color coordinates were taken as inputs of a multilayer neural network. Based on network outputs, the RGB values to be predicted were calculated.
转换后的颜色坐标作为神经网络的输入，根据神经网络的输出就能得到预测的RGB值。
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