| 段春青,邱林,黄强,陈晓楠.基于混沌遗传程序设计的参考作物腾发量预测模型[J].水利学报,2006,37(4):499-503 |
| 基于混沌遗传程序设计的参考作物腾发量预测模型 |
| Model for predicting reference evaportranspiration based on genetic programming with chaos algorithm |
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| DOI： |
| 中文关键词: 参考作物腾发量 遗传程序 混沌算法 预测 |
| 英文关键词: evapotranspiration genetic programming chaos algorithm prediction |
| 基金项目: |
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| 摘要点击次数: 1754 |
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| 中文摘要: |
| 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。 |
| 英文摘要: |
| A model of genetic programming with chaos algorithm is established to predict reference evaportranspiration. 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 digital 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. |
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