摘要
利用混沌算法的全局空间寻优性能和遗传程序设计的结构自动寻优功能,建立了基于混沌遗传程序设计的参考作物腾发量预测模型。设计多组数字实验,研究输入因子间相关性对模型预测准确性的影响。预测结果与Penman-Montieth方法计算结果比较表明,该模型以混沌算法优化模型中的参数,在一定程度上解析其他模型可能因为其中的参数未能达到最优而被淘汰的问题。适应性强,精度高,为参考作物腾发量的预测提供了新的有效方法。
A model evaportranspiration, of genetic programming with chaos algorithm is established to predict reference The model integrates the merits seeking for a global optimum solution by using chaos algorithm and the powerful capacity seeking for structure of model by using genetic programming. Many distal experiments are carried out and the correlative influences of factors on forecasting precision of model are studied. The application of the proposed model shows that the problem of some parameters will be screened out due to the other parameters has not been optimized, and it will be solved by using chaos algorithm. The model is effective and possessing high accuracy.
出处
《水利学报》
EI
CSCD
北大核心
2006年第4期499-503,共5页
Journal of Hydraulic Engineering
基金
河南省高校创新人才培养工程项目(HNCX2003-17)
青海省科学技术厅基金项目(2004-G-158)
关键词
参考作物腾发量
遗传程序
混沌算法
预测
evapotranspiration
genetic programming
chaos algorithm
prediction
作者简介
段春青（1980-），女，河南濮阳人，博士生．主要从事水资源系统管理研究。E-mail：xyz5451-cn@sina．com
