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Predicting residual life of cable plays a key role in ship management. In this paper, the Grey Linear Regression Model is used for residual life prediction of shipboard cable under influence of multi-factors. The method is proved effectively by the comparison between the actual aging data and the data acquired by the traditional Arrhenius Equation.
The forecast of grain production is not only an important resource for establishing agriculture policy but also is of great significance to ensure our nation's food security based on studying the change rule of our country grain production system. In view of the fact that the complexity and incomplete information of grain production system, the primary factors influencing the grain production is decided...
Based on the statistical data during the period from 2003 to 2008 released by Henan Statistical Bureau in China, this paper focused on forecasting the amount of the scientists and technicians of Henan province in China, using GM (1, 1) model and regression model. The result of this empirical study is that the grey prediction theory can fit the scientists and technicians amount development precisely...
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