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用改进的BP算法预报灌区地下水位
引用本文:徐建新,张亮,邱林,石兆英.用改进的BP算法预报灌区地下水位[J].华北水利水电学院学报,2003,24(1):1-4.
作者姓名:徐建新  张亮  邱林  石兆英
作者单位:华北水利水电学院,河南,郑州,450011
基金项目:国家 8 6 3计划项目 (2 0 0 2AA2Z4 2 90 ),2 0 0 2年河南省创新人才基金项目
摘    要:在简述BP网络特点的基础上 ,提出了对BP算法中输入、输出因子进行规格化处理的方法 ,解决了BP算法在实际应用中输出值与期望值相差较大使训练结果达不到要求的问题 .提出了可以有效节省训练时间和修正学习因子的方法 ,将其应用于灌区地下水位预报中取得了满意的结果

关 键 词:神经网络  规格化  地下水  动态预报
文章编号:1002-5634(2003)01-0001-04
修稿时间:2002年10月10

Forecast Groundwater Level in Irrigation District Based on Improved BP Algorithm
XU Jian xin,ZHANG Liang,QIU Lin,SHI Zhao ying.Forecast Groundwater Level in Irrigation District Based on Improved BP Algorithm[J].Journal of North China Institute of Water Conservancy and Hydroelectric Power,2003,24(1):1-4.
Authors:XU Jian xin  ZHANG Liang  QIU Lin  SHI Zhao ying
Abstract:On the basis of introducing characteristic of BP network, a method that input factors and output factors of BP algorithm are standardly processed, and the problem is solved that in practice the differences between the output values and expectant values are too great to reach the demanding drill result. And the method of modifying study factor which can save drill time effectively is suggested. Further more these methods are applied to groundwater level forecast in irrigation district and satisfactory results are obtained.
Keywords:neural network  standardization  groundwater  dynamic forecast
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