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基于遗传算法的天然气消费量预测研究
引用本文:帅训波,杨遂发,周相广,马书南.基于遗传算法的天然气消费量预测研究[J].德州学院学报,2009,25(2):60-62.
作者姓名:帅训波  杨遂发  周相广  马书南
作者单位:1. 中国石油勘探开发研究院廊坊分院地球物理与信息研究所,河北廊坊,065007
2. 北京工业大学计算机学院,北京,100022
摘    要:天然气消费量受众多因素影响,应用单一预测方法产生的预测值误差较大.提出了一种天然气消费量优化组合预测模型的构造方法,给出了优化组合预测模型提高预测精度的理论依据,并应用实数编码遗传算法对优化组合模型进行求解.实例计算结果分析表明,优化组合预测模型具有更高的预测精度.

关 键 词:天然气  消费预测  优化组合  遗传算法

Prediction of Natural Gas Consumption Research Based on Genetic Algorithm
SHUAI Xun-bo,YANG Shui-fa,ZHOU Xiang-guang,MA Shu-nan.Prediction of Natural Gas Consumption Research Based on Genetic Algorithm[J].Journal of Dezhou University,2009,25(2):60-62.
Authors:SHUAI Xun-bo  YANG Shui-fa  ZHOU Xiang-guang  MA Shu-nan
Institution:1.Institute of Geophysics and Information;Langfang Branch of Research Institute of Petroleum Exploration and Development;PetroChina;Langfang Hebei 065007;China;2.College of Computer Science &Technology;Beijing University of Technology;Beijing 100022;China
Abstract:Consumption of natural gas is affected by many factors,so there is big error between the prediction and the real consumption for almost every single prediction method.To solve the problem,a construction method of optimization combination prediction model is proposed.Besides,a genetic algorithm based real code is designed to search for optimization parameters values of the combination model.Prediction result of the optimization combination model constructed by this method is better than that with single meth...
Keywords:natural gas  consumption predication  optimum combination  genetic algorithm  
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