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Erschienen in:
2010 | OriginalPaper | Buchkapitel
Comparison between BP Neural Network and Multiple Linear Regression Method
verfasst von : Guoli Wang, Jianhui Wu, Sufeng Yin, Liqun Yu, Jing Wang
Erschienen in: Information Computing and Applications
Verlag: Springer Berlin Heidelberg
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BP neural network and multiple linear regression model can be used for multi-factor analysis and forecasting, but the data of the multiple linear regression required to meet independence, normality and other conditions, while the data of the BP neural network do not need to. This article uses the same set of data to established BP neural network model and multiple linear regression model, then compare the ability of fitting and forecasting of the two kinds of models finding that BP neural network has a strong fitting ability and a stable ability of prediction, which can be further used and promoted in the anglicizing and forecasting of the continuous data factors.