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An optimized grey model and its application in predicting thefinancial investment to science and technology

机译:优化的灰色模型及其在科技金融投资预测中的应用

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The grey model GM (1, 1) is one of the important components in the grey systems theory system. According to the modeling mechanism of GM(1, 1) model, based on the analysis of the flaws of the existing grey model GM(1, 1) the method which consists of the most superior initial value, which is solved in the constraint that all components of GM(1, 1) modeling sequence X(1) fit smallest error sum of squares and the optimized background value was proposed. The improvement of existing GM (1, 1) model was made. The novel GM (1, 1) was constructed and it was compared with the existing three kinds of GM (1, 1) models in the modeling precision. The research findings indicate: Compared with the existing GM (1, 1) models, the modeling precision (simulation precision and forecast precision) of the novel GM (1, 1) model is the highest.
机译:灰色模型GM(1,1)是灰色系统理论系统中的重要组成部分之一。根据GM(1,1)模型的建模机制,在分析现有灰色模型GM(1,1)的缺陷的基础上,该方法具有初始值最高的问题,解决了以下问题: GM(1,1)建模序列X (1)的所有分量都适合最小的平方误差和,并提出了优化的背景值。对现有GM(1,1)模型进行了改进。构造了新颖的GM(1,1),并将其与现有的三种GM(1,1)模型进行了建模精度比较。研究结果表明:与现有的GM(1,1)模型相比,新型GM(1,1)模型的建模精度(模拟精度和预测精度)最高。

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