关键词: 主成分分析 BP神经网络 预测

Abstract:

The inputs of forecasting affect the accuracy of the results and computational speed. The traditional method of subjective selection is inefficient in choosing the inputs. The Principal Component Analysis（PCA） method is applied to preprocessing the data sets, eliminating the correlation among the in nputs,and simplifying the structure. An example of Shanghai Stock Index is used to prove the efficiency of PCA.

Key words: （PCA;BP neural network, forecasting）