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	基于改进遗传规划算法的数据拟合; Data fitting based on improved genetic programming
	邵桂芳 ; 周绮凤 ; 陈桂强
	2009
关键词	遗传规划 改进 数据拟合 最小二乘法 genetic programming improve data fitting least square method
英文摘要	针对传统数据拟合方法需预先估计基函数、依赖于应用领域等问题,基于遗传规划的动态可变特性,提出将遗传规划与最小二乘法结合,设计具有一定通用性和自适应能力的数据拟合算法。在分析传统遗传规划算法的基础上,详细介绍了算法改进方法,并针对各种类型的拟合数据进行了对比实验。实验结果表明,该算法不仅可以应用到多种场合,而且可以提高拟合效率与精度。; There are many problems in current data fitting methods,such as it needs to estimate the radical function in advance and depends on the application field,and so on.Based on the dynamic alterable property of genetic programming(GP),combined GP with least square method,and designed a new data fitting method which had universal and self-adaptive capacity.Firstly,analyzed the traditional GP.Secondly,introduced the improved method in details.Finally,fimiched some contrastive experiments based on various fitting data.Experiment results show that this method can be applied in many fields,and it can improve the fitting efficiency and precision.; 国家自然科学基金资助项目(60443004);重庆市自然科学基金资助项目(2007BB2415)
语种	zh_CN
内容类型	期刊论文
源URL	[http://dspace.xmu.edu.cn/handle/2288/106179]
专题	化学化工－已发表论文
推荐引用方式 GB/T 7714	邵桂芳,周绮凤,陈桂强. 基于改进遗传规划算法的数据拟合, Data fitting based on improved genetic programming[J],2009.
APA	邵桂芳,周绮凤,&陈桂强.(2009).基于改进遗传规划算法的数据拟合..
MLA	邵桂芳,et al."基于改进遗传规划算法的数据拟合".(2009).

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