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遗传程序设计在统计建模中的应用
引用本文:李康顺,李元香,汤铭端,周爱民,吴志健.遗传程序设计在统计建模中的应用[J].系统仿真学报,2005,17(7):1597-1600.
作者姓名:李康顺  李元香  汤铭端  周爱民  吴志健
作者单位:1. 江西理工大学信息工程学院,江西,341000;武汉大学软件工程国家重点实验室,湖北武汉,430072
2. 武汉大学软件工程国家重点实验室,湖北武汉,430072
3. 航天科工集团第二研究院,北京,100854
基金项目:国家自然科学重点基金项目(60133010),高等学校博士学科点专项科研基金项目(20030486049)
摘    要:介绍一种利用遗传程序设计的方法来自动生成统计预测模型,并进行误差估计分析,改变过去只使用拟合曲线粗糙、预测结果不理想的几种传统固定统计预测模型的传统分析方法。通过对1]和2]的真实历史资料验证,结果表明,与传统的线性回归、指数回归、抛物线回归三种方法对比,遗传程序设计建立的模型所预测的数据准确度明显要高。

关 键 词:遗传程序设计  自动建模  回归  统计预测
文章编号:1004-731X(2005)07-1597-04
修稿时间:2004年4月24日

Application of Genetic Programming on Statistical Modeling
LI Kang-shun,LI Yuan-xiang,TANG Ming-duan,ZHOU Ai-min,WU Zhi-Jian.Application of Genetic Programming on Statistical Modeling[J].Journal of System Simulation,2005,17(7):1597-1600.
Authors:LI Kang-shun  LI Yuan-xiang  TANG Ming-duan  ZHOU Ai-min  WU Zhi-Jian
Institution:LI Kang-shun1,2,LI Yuan-xiang2,TANG Ming-duan3,ZHOU Ai-min2,WU Zhi-jian 2
Abstract:An application of genetic programming in statistical modeling is proposed, which obviously improved the traditional regular methods of statistical modeling that could only obtain rough curve fitting and unsatisfactory results. Then, the estimating standard error and forecasting standard error were calculated and analyzed. By using the actual historical data from Statistics Yearbook of China and Statistics Yearbook of Jiangxi Province, China published in recent years, the automatic generated statistical model of economic forecasting by using genetic programming was established and the result indicates that the accuracy calculated by this statistical model is obviously much higher, compared with traditional methods such as linear regression, exponential regression and parabolic regression3].
Keywords:evolutionary computation  automatic building model  regression  statistical forecasting  
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