The bank risk forewarning model of BP neural network based on the clound computing
作者： Rui Zhang , Changbing Jiang
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摘要: Constructing a scientific and effective bank risk forewarning model is an important measure to effectively guard against defuse risks in commercial banks. This article constructs using BP neural network principal component analysis method. Meanwhile, being aimed at that it takes long time while processing the mass data train network, also decomposes algorithm for MapReduce, running parallel reduce time. The experiment result shows achieved higher accuracy of rate 88percents.
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