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。
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。
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