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Journal of Applied Sciences

Year: 2013 | Volume: 13 | Issue: 19 | Page No.: 4082-4086
DOI: 10.3923/jas.2013.4082.4086
By Using Normal Least Squares Support Vector Regression Model to Carry out Market Forecasting
Liu Hongxia

Abstract: Forecasting of the market sale is an important part of supply chain management.It is well known that traditional forecasting method for market sale is based on the market demand evaluation of the different departments. In order to derive a more robust least squares support vector regression model, a novel normal least squares support vector regression model is proposed in this study. Compared with least squares support vector regression model, normal least squares support vector regression model incorporates the data information in a global way. It is indicated that the forecasting ability for sales volume of normal least squares support vector regression model is more excellent than those of least squares support vector regression model and traditional support vector regression model.

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How to cite this article
Liu Hongxia , 2013. By Using Normal Least Squares Support Vector Regression Model to Carry out Market Forecasting. Journal of Applied Sciences, 13: 4082-4086.

Keywords: Normal direction, regression method and market forecasting

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