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基于粗糙集理论和模糊SVM的车牌识别技术研究
引用本文:贺光,李永忠.基于粗糙集理论和模糊SVM的车牌识别技术研究[J].湖南农业大学学报(自然科学版),2010,27(4):86-89.
作者姓名:贺光  李永忠
作者单位:(1.红河学院 数学学院,云南 蒙自661100;2.玉溪农业职业技术学院 计科系,云南 玉溪653106)
摘    要:研究了一类风险过程,其中保费收入为复合Poisson过程,而描述索赔发生的计数过程为保单到达过程的p-稀疏过程.给出了生存概率满足的积分方程及其在指数分布下的具体表达式,得到了破产概率满足的Lundberg不等式、最终破产概率及有限时间内破产概率的一个上界和生存概率的积分-微分方程,且通过数值例子,分析了初始准备金、保费收入、索赔支付及保单的平均索赔比例对保险公司破产概率的影响.

关 键 词:Poisson过程    破产概率  Lundberg不等式  稀疏过程

The Research of License Plate Recognition Based on Rough Set and Fuzzy SVM
HE Guang,LI Yong-zhong.The Research of License Plate Recognition Based on Rough Set and Fuzzy SVM[J].Journal of Hunan Agricultural University,2010,27(4):86-89.
Authors:HE Guang  LI Yong-zhong
Institution:(1. College of Mathematics, Honghe University, Mengzi,Yunnan 661100,China;2. Department of Computation and Science, Yuxi Agricultural Vocation College, Yuxi, Yunnan 653106,China)
Abstract:Aiming at the problem of unclassifiable regions in multi-class support vector machines, this paper presents a recognition algorithm based on rough FSVM. The method was designed according to the reasoning process of the rough set theory, including building up, dispersing and reducing the decision table of training samples. Not only improve the training time, but also solve the problem of unclassifiable regions in multi-class support vector machines. Simulation results indicate that this recognition algorithm is applied to license plate recognition, made even better result than the SVM recognition under the same conditions.
Keywords:Cool Chain  Third Party Logistics(3PL)  Extension Method
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