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Because of globalization, fast changes of technology and short life cycle of products, enhancing the accuracy of demand forecasts becomes one of the important issues for managers. The objective of this paper is to analyze and explore given data of orders using adaptive neuro-fuzzy inference system (ANFIS) and to draw up, by ANFIS learning mechanism, the relational rules from historical order data,...
The value of forecast lies in the prophet of future, and having an important impact on decision-making, Therefore, from the relevant of taxation and economic angle, using analytical methods integrating qualitative and quantitative analysis, based on macroeconomic indicators data of Heilongjiang Province since 1999, through the building of combined forecast model, It is going to forecast revenue organized...
In view of the bad forecasting results of the standard epsiv-support vector machine (SVM) for product sale series with the normal distribution noise, a SVM based on the Gaussian loss function named by g-SVM is proposed. And then, a hybrid forecasting model for product sales and its parameter-choosing algorithm are presented. The results of its application to car sale forecasting indicate that the...
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