The paper sets up a risk early-warning model using the methods of BP neural network and principal component analysis.
本文运用BP神经网络和主成分分析相结合的方法构建了一个商业银行风险预警模型。
By determining the structure of the model and empirical analysis of the successful construction of the BP neural network of supply chain risk early warning partnership model.
本文通过确定模型结构和实证分析，成功地构建了BP神经网络供应链合作伙伴关系风险预警模型。
The results verified the credibility and possibility of the early warning analysis model with BP algorithm.
在此基础上，以都安石漠化预警分析为例，提出了基于神经网络的石漠化预警模型的结构。
Secondly, through the evaluation and analysis of existing early warning models, choose one as the model used in this paper: apply the fuzzy matter-element model for dynamic early warning analysis.
其次，通过对现有预警模型进行评价和分析，选择出本文的预警模型：运用模糊物元预警模型进行预警分析。
The third part will make use of statistical method to build the basic evaluation model of the early warning and carry on the analysis and the examination to the validity of the model.
第三部分将利用统计方法建立预警的基本评价模型，并对模型有效性进行分析和检验。
The third part will make use of statistical method to build the basic evaluation model of the early warning and carry on the analysis and the examination to the validity of the model.
第三部分将利用统计方法建立预警的基本评价模型，并对模型有效性进行分析和检验。
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