The application of grey residual error GM(11)model based on Markvo to aging behavior prediction of plastic
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    Abstract:

    To solve the problem of poor prediction accuracy of GM(11)model when the data are discretebased on the sign of residual error modification value of prediction value being determined by Markvo chaina residual error modification is presented.The grey residual error GM(11)model based on Markvo is constructed through the modification of simulation value and prediction value obtained from GM(11)model.The prediction of tensile strength of LDPE greenhouse film under natural aging condition is taken as an exampleand the applicability of constructed model in the prediction of plastic aging behavior is researched.The results show that the relative error between prediction value and the actual value of tensile strength of LDPE greenhouse film after aging 18 and 21 months obtained from constructed model are 1.49% and 4.96% respectively.Prediction accuracy are higher than that(relative error are 3.40% and 6.75% respectively)obtained from GM(11)model obviously.Grey residual error GM(11)model based on Markvo needs less original data and has high prediction accuracythus it is a simple and reliable method for plastic aging behavior prediction.

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陈奎,张天云,卢柏林,郑小平.基于马尔克夫的灰色残差GM(11)模型在塑料老化行为预测中的应用[J].重庆大学学报,2014,37(5):71~76

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History
  • Received:November 20,2013
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  • Online: June 03,2014
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