| 政策干预对投资者间博弈的影响 |
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| 引用本文： | 刘昌国,彭佼蛟.政策干预对投资者间博弈的影响[J].重庆工学院学报,2008,22(3):47-50. |
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| 作者姓名： | 刘昌国 彭佼蛟 |
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| 作者单位： | 河南科技学院数学系 河南新乡453003(刘解放)，河南科技学院化学化工学院 河南新乡453003(侯振雨，姚树文) |
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| 摘 要： | 研究政策干预对机构投资者博弈策略和均衡结果的影响。研究结果表明，政府的政策干预有利于机构投资者的市场操纵行为。增加机构投资者数量，减少信息不对称程度，可以减少股价操纵事件的发生。
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| 关 键 词： | 机构投资者 博弈 政策干预 操纵市场 |
Support Vector Machine and Its Applications in NIR Analysis |
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| LIU Jie-fanga,HOU Zhen-yub,YAO Shu-wenb.Support Vector Machine and Its Applications in NIR Analysis[J].Journal of Chongqing Institute of Technology,2008,22(3):47-50. |
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| Authors: | LIU Jie-fanga HOU Zhen-yub YAO Shu-wenb |
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| Affiliation: | LIU Jie-fang~a,HOU Zhen-yu~b,YAO Shu-wen~b |
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| Abstract: | Support vector machine(SVM) is a powerful machine learning technology based on statistical learning theory(SLT).It has attracted growing research interest because of its obvious advantages such as nonlinear function approximation with arbitrary accuracy,and good generalization ability,unique and globally optimal solutions.Near-infrared spectroscopy(NIR) analytical technique is simple,fast and of low cost,making neither pollution nor damage to the samples,and can determine many components simultaneously.In this paper,support vector machine(SVM) combined with NIR is applied to regression and pattern recognition, and satisfactory result is obtained |
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| Keywords: | Support Vector Machine NIR Statistical Learning Theory(SLT) |
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