Application of GA-BP combination forecasting method into the annual runoff prediction of Beiluo River
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DOI:10.7606/j.issn.1000-7601.2014.01.033
Key Words: runoff  forecast  GA-BP combination model  Zhuangtou Station
Author NameAffiliation
WANG Guang-yu1, XIE Jian-cang1, ZHANG Jian-long2 (1.西安理工大学 教育部西北水资源与环境生态重点实验室 陕西 西安 710048 2.山西省水利建设开发中心 山西 太原 030002) 
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Abstract:
      The paper has developed a GA-BP combination model to forecast the runoff, in order to seek more reasonable runoff forecasting methods. First, use the GA global search capability to locate a better search space, then use the local optimization ability of BP neural network. This forecast mod el was used the measured data of Zhuangtou Hydrometric Station in Beiluo River from 1960 to 2010. The results showed that: The relative error of the predicted results from 2001 to 2010 were -8.9%、-12.6%、-7.4%、9.4%、-7.6%、15.0%、-5.5%、10.7%、13.3% and -8.2%, respectively. The predicted results of GA-BP combination model were better than the basic BP model and the GA model from the relative err or and the training numbers.