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神经网络方法在黄河来水预测中的应用
引用本文:薛桂先.神经网络方法在黄河来水预测中的应用[J].农业网络信息,2006(5):36-38.
作者姓名:薛桂先
作者单位:聊城市位山灌区管理处,山东,聊城,252000
摘    要:随着黄河水限引时间的增长,引黄灌区水资源危机越来越显著,用神经网络(Artificial Neural Network,简称ANN)方法预测引水量是可以的,能满足灌区引配水的需要。

关 键 词:引黄灌区  神经网络  预测
文章编号:1672-6251(2006)05-0036-03
修稿时间:2005年12月31

Application of artificial neural method in forecasting of the water drawing from the Yellow River
XUE Gui-xian.Application of artificial neural method in forecasting of the water drawing from the Yellow River[J].Agriculture Network Information,2006(5):36-38.
Authors:XUE Gui-xian
Abstract:With the state's emphasis on controlling abilities of water resources in the Yellow River drainage basin,the irrigation amount of water has been limited.Through the establishment of an ANN model,the water drawing is forecasted.The result shows that it can satisfy the requirement of the irrigation amount of water.
Keywords:Irrigation area by drawing water from the Yellow River  ANN  Forecast
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