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基于支持向量机的绿色战略选择模型研究

Research on Green Strategy Selecting Model Based on SVM

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【作者】 柳益君; 朱广萍; 钱进; 李红卫;

【Author】 LIU Yi-jun1,ZHU Guang-ping1,QIAN Jing1,2,LI Hong-wei1(1.College of Computer Science and Engineering,Jiangsu Teachers University of Technology,Changzhou Jiangsu 213001,China 2.Department of Computer Science and Technology,Tongji University,Shanghai 200092,China)

【机构】 江苏技术师范学院计算机科学与工程学院; 同济大学计算机科学与技术系;

【摘要】 研究创建企业以保护环境为目标的绿色技术,应用支持向量机技术帮助企业进行制定绿色技术创新战略,从而提高战略选择的准确度和科学性,对环境保护和企业的持续发展具有重要意义。根据支持向量机的原理,建立支持向量机的企业绿色技术创新战略选择模型。仿真研究中,采用LibSVM软件建模和测试,使用网格搜索方法优化惩罚参数和核函数参数,从而达到更好的泛化能力,并结合实际案例进行分析。仿真结果表明,方法对绿色战略选择有着良好的性能,并可帮助企业快速准确地制定绿色战略。

【Abstract】 To make strategy selecting more accurate and scientific.researching on high-quality corporation strategy selecting of green technological innovations with support vector machine contributes to environmental protection and the sustainable development of corporations.Support vector machine was applied to corporation strategy selecting of green technological innovation in this paper.In simulation study,LibSVM software was adopted to establish the model,grid-search method was used to optimize the penalty parameter and core function parameter to achieve better generalization performance,and actual cases were analyzed.The simulation results show that the support vector machine model has good performance for strategy selecting and can help corporations make green decision rapidly and accurately.

  • 【文献出处】 计算机仿真 ,Computer Simulation , 编辑部邮箱 ,2010年11期
  • 【分类号】F273.1;F205;TP18
  • 【被引频次】6
  • 【下载频次】137
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