A mathematical model for thin strip cold and temper rolling process has been developed using influence function method.

利用影响函数法，开发了适用于冷轧薄带与平整轧制过程的数学模型。

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Generalization ability of ANN's identification model concerns with many factors, and appropriate designed performance index function is an important influence factor.

大量研究表明，ANN模型泛化能力的改善与很多因素相关联，其中恰当的性能指标函数设计是一个重要影响因素。

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Function simulation are used to analyze the influence on model precision of these methods, and positive analysis of predicting dispute resolution satisfaction is conducted.

通过函数仿真分析了不同的数据预处理方法对神经网络模型精度的影响，并通过建筑项目争端解决满意度预测问题进行了验证。

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