2014
DOI: 10.4028/www.scientific.net/amm.602-605.3333
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Application of Grey Least Square Support Vector Machine in New Equipment Materiel Demand Prediction

Abstract: Due to the short investment time of the new equipment, the materiel consumption and maintenance data is not much. As a result, its demand prediction belongs to the prediction of small sample data. Since general demand prediction methods are difficult to predict the materiel demand of new equipment, an applicable and efficient prediction method should be explored to solve the problem. Therefore, combining grey prediction theory and least square support vector machine and operating accumulative generation on the… Show more

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