J4 ›› 2009, Vol. 27 ›› Issue (1): 73-77.

• 业务应用技术 • 上一篇    下一篇

基于灰色关联分析与RBF神经网络的水面蒸发量预测

魏光辉,马 亮   

  1. 新疆农业大学水利与土木工程学院,新疆乌鲁木齐 830052
  • 收稿日期:2008-10-21 修回日期:2008-11-21 出版日期:2009-03-31 发布日期:2009-03-30
  • 作者简介:魏光辉(1981 - ) ,男,汉,新疆石河子人,硕士研究生,注册一级建造师、注册安全工程师,主要从事水利工程建设管理工作与干旱区水文水资源研究工作. E - mail: wgh12358@163. com
  • 基金资助:

    新疆水利水电工程重点学科基金项目(XJZDXK2002 - 10 - 05)资助

Pred iction ofWa ter Surface Evapora tion Ba sed on Grey - rela tion Ana lysis and RBF Neura l Network

 WEI Guang-Hui, MA  Liang   

  1. College ofW ater Conservancy & Civil Engineering, X injiang Agricultural University, U rum qi 830052, China
  • Received:2008-10-21 Revised:2008-11-21 Online:2009-03-31 Published:2009-03-30

摘要:

利用灰色关联度法分析了影响水面蒸发量的主要气象因素,并通过RBF神经网络建立了水面蒸发量的经验预测模型。计算结果表明,所建立的模型简单易行,精度较高,可以应用于生产实践中。

关键词: 水面蒸发量, 灰色关联度, RBF神经网络, 预测

Abstract:

The main meteorological factors influencing water surface evaporation were analyzed using the grey - relation analysis, and through RBF neural network the experientialmodelwas established to forecastwater surface evaporation. The calculation results show that the model can be used easily in p ractice with higher p recision

Key words: water surface evaporation, grey - relation analysis, RBF neural network, p rediction

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