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    Please use this identifier to cite or link to this item: https://tkuir.lib.tku.edu.tw/dspace/handle/987654321/99126

    Title: Grey Support Vector Regression Model with Applications to China Tourists Forecasting in Taiwan
    Authors: Tsaur, Ruey-Chyn;Chan, Shu-Feng
    Contributors: 淡江大學管理科學學系
    Keywords: Grey support vector regression;grey theory;support vector regression;tourism demand forecasting
    Date: 2014-07-01
    Issue Date: 2014-10-15 14:27:38 (UTC+8)
    Publisher: 新北市:淡江大學管理科學學系
    Abstract: Support vector regression (SVR) has been successful in function approximation for forecasting analysis based on the idea of structural risk minimization. SVR has perfect forecasting performance by employing in large sample size for training and solving its parameters, where the SVR is difficult to be applied in limited time series data with some fluctuated points; in contrast, grey model has better forecasting performance in limited time series data. In order to cope with this problem, we use both of the advantages of support vector regression model and grey theory to construct a new grey support vector regression (GSVR) model for solving limited data with some fluctuations. Finally, we demonstrate an application for planning China tourism demand for improving the tourism infrastructure in Taiwan with a better forecasting performance.
    Relation: International Journal of Information and Management Sciences 25(2), pp.121-138
    DOI: 10.6186/IJIMS.2014.25.2.3
    Appears in Collections:[Department of Management Sciences] Journal Article

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