Feature extraction reduces the dimensionality of the problem and enables the neural network to be trained on an image which is separated from the test image.
因为特征抽取减少了问题的维数并且使网络能够在一幅和实验图像分离的图像上得到训练。
2
For improving forecast accuracy and the efficiency of network training, we USES principle components analysis method to reduce the dimensionality of the feature space.
为了进一步提高预测精度和网络训练的效率，对众多的预报因子采用主成分分析的方法进行降维处理。
3
Distribution network reconfiguration has the "curse of dimensionality" problem as the network scale expansion.