基于BP神经网络的新疆平原地区水面蒸发量预测模型研究  

Research on Water Surface Evaporation Forecasting Model of Xinjiang Plain Based on BP Neural Network

作　　者：刘彩红[1] 冯宗友 

机构地区：[1]重庆师范大学数学与计算机科学学院,重庆400047 [2]重庆市渝北中学校,重庆401120

出　　处：《重庆工学院学报》2007年第11期87-89,共3页Journal of Chongqing Institute of Technology

基　　金：重庆市教委科技项目(KJ060818;KJ060804)

摘　　要：利用新疆地矿局昌吉地下水均衡试验场1997—2000年非冻结期20 m2水面蒸发池的蒸发量数据,基于BP神经网络,建立新疆平原地区水面蒸发量的预测模型,结果表明:模型构建简单,误差较小,且所需资料易于获得.According to the conventional meteorology observation data and the water surface evaporation of 20 m^2 experimental pool from 1997 to 2000 in Changji, the paper sets up the forecast model of water surface evaporation of the Xinjiang plain area based on BP Neural Network. The result of the experiment indicates that it has insignificant error and its structure is simple. In addition, the material can be easily obtained.

关 键 词：水面蒸发量 BP神经网络 预测模型 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程]