水资源与水工程学报2013，Vol.24Issue(3)：43-45,49,4.
利用神经网络-缺省因子法及熵权法分析气象因素对水面蒸发的影响
Analysis of impact of meteorological factor on water evaporation based on neural network-default factor method and entropy method
摘要
Abstract
according to daily evaporation and meteorological data during non-glacial period of 2007 from Qiemo meteorological station in Che'erchen River basin of Xinjiang (April to September),the paper used neural network-the default factor method and entropy method to analyze the influence of meteorological factors on water evaporation.Results show that temperature and wind speed is the most sensitive factors on the influence of water surface evaporation.Hope from meteorological factors point of view,to provide reference for regional water resources optimal allocation.关键词
神经网络-缺省因子法/熵权法/水面蒸发/车尔臣河流域Key words
neural network-default factor method/ entropy method/ water surface evaporation/Che'erchen river basin分类
天文与地球科学引用本文复制引用
邓丽娟..利用神经网络-缺省因子法及熵权法分析气象因素对水面蒸发的影响[J].水资源与水工程学报,2013,24(3):43-45,49,4.基金项目
水利部公益性行业科研专项经费项目(201201037) （201201037）
