| 改进的LS-SYM算法在入境旅游客流量预测上的应用 |
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| 引用本文： | 张朝元,陈丽.改进的LS-SYM算法在入境旅游客流量预测上的应用[J].湖南工程学院学报(自然科学版),2011,21(1):41-43. |
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| 作者姓名： | 张朝元 陈丽 |
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| 作者单位： | 1. 大理学院,数学与计算机学院,大理,671003
2. 大理学院,工程学院,大理,671003 |
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| 基金项目： | 大理学院科研基金资助项目 |
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| 摘 要： | 近年来,各地入境游客流量的迅速发展引起了各级政府和旅游事业的极大重视.而对未来旅游客流量及时准确的预测成为规划旅游政策的重要依据.针对游客流量的特点,提出了采用改进的最小二乘支持向量机方法来建立旅游客流量的时间序列预测模型.实验预测结果表明该模型具有较高的预测精度,可以为各地旅游客流量预测提供了一条新的途径.
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| 关 键 词： | LS-SVM法 旅游客流量 预测 |
Prediction of Tourist Flow of Entering a Country Based on Improved Algorithm of LS-SVM |
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| ZHANG Chao-yuan,CHEN Li.Prediction of Tourist Flow of Entering a Country Based on Improved Algorithm of LS-SVM[J].Journal of Hunan Institute of Engineering(Natural Science Edition),2011,21(1):41-43. |
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| Authors: | ZHANG Chao-yuan CHEN Li |
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| Institution: | ZHANG Chao-yuan1,CHEN Li2(1.College of Mathematics and Computer,Dali University,Dali 671003,China,2.College of Engineering,China) |
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| Abstract: | In recent years,the rapid development of tourist flow of entering a country causes close attention from the government and tourism enterprise.The predicxion of future tourist flow is an important resource for establishing tourist policy.In view of tourist flow characteristics,the prediction model of tourist flow is given based on the improved least squares support vector machine.The experimental result shows that the forecasting model is more effective and offers a new method to forecast the tourist flow. |
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| Keywords: | Least Squares support vector machine tourist flow forecast |
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