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基于遗传程序设计的水库年末水位预测模型
引用本文:张雯怡,黄强,陈晓楠.基于遗传程序设计的水库年末水位预测模型[J].水电自动化与大坝监测,2005,29(6):62-64,68.
作者姓名:张雯怡  黄强  陈晓楠
作者单位:西安理工大学水利水电学院,陕西省,西安市,710048
基金项目:中国科学院资助项目;青海省科技厅资助项目
摘    要:为了克服传统预测方法的不足,采用遗传程序设计,建立了多年调节水库年末消落水位预测模型。该模型利用演化计算自动寻找最优的模型结构,比传统方法具有较大的灵活性和智能性。通过对洪家渡多年调节水库的实例计算,不仅得出影响因子与年末消落水位的最佳函数式,而且用于拟合和预报的精度均满足要求,可以为水库调度提供一定的依据。

关 键 词:水库调度  遗传程序设计  年末消落水位  预测模型
收稿时间:2005-06-23
修稿时间:2005-06-232005-07-29

Genetic Programming-based Prediction Model for the Year-end Reservoir Level
ZHANG Wen-yi,HUANG Qiang,CHEN Xiao-nan.Genetic Programming-based Prediction Model for the Year-end Reservoir Level[J].HYDROPOWER AUTOMATION AND DAM MONITORING,2005,29(6):62-64,68.
Authors:ZHANG Wen-yi  HUANG Qiang  CHEN Xiao-nan
Abstract:In order to overcome the disadvantages of traditional prediction methods, genetic programming is used to predict the year-end level of overyear regulation reservoirs. The model, which is more flexible and intelligent than traditional methods, can find out the optimal model structure automatically with evolvement calculation. With the Hongjiadu overyear regulation reservoir as an example, not only an optimal function of the influencing gene and the year-end level is obtained, but also the precision for fitting and forecast is satisfactory, providing a reference for reservoir scheduling.
Keywords:reservoir scheduling  genetic programming  the year-end level  prediction model
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