[1]孔萌,刘俊民.BP神经网络L-M优化算法在地下水动态预测中的应用[J].水土保持研究,2007,14(05):51-52,61.
　KONG Meng,LIU Jun-min.Applying the BP Net work L-M Optimize Arithmetic to Simulate and Forecast the Ground Water Dynamic[J].Research of Soil and Water Conservation,2007,14(05):51-52,61.
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BP神经网络L-M优化算法在地下水动态预测中的应用

《水土保持研究》[ISSN:1005-3409/CN:61-1272/P] 卷: 14 期数: 2007年05期 页码: 51-52,61 栏目: 出版日期: 1900-01-01
Title:
Applying the BP Net work L-M Optimize Arithmetic to Simulate and Forecast the Ground Water Dynamic
作者:
孔萌, 刘俊民
西北农林科技大学 水利与建筑工程学院, 陕西 杨陵 712100
Author(s):
KONG Meng, LIU Jun-min
Northwest A & F University, Water & Architecture Conservancy College, Yangling, Shaanxi 712100, China
关键词:
地下水水位; BP神经网络; L-M优化算法; 灰色模型预测法
Keywords:
ground water level; BP Net work; L-M optimize arithmetic; Gray-model forecast
分类号:
P641.74
摘要:
根据地下水动态的时间序列数据资料，建立地下水动态模型，应用BP神经网络的L-M优化算法进行模拟和预测，并与灰色模型预测法的分析结果进行比较，得出该方法不仅简单可行，而且预测精度更高，可在地下水动态、河流水质、大气环境质量预测等方面广泛使用的结论。
Abstract:
According to the time-serial datum of the ground water dynamic,set up the ground water dynamic model,apply to the BP Network L-M optimize arithmetic to simulate and forecast,compare to the result of the Gray-model,and then elicit the more simple,more capable and higher precise conclusion that ANN’s application.It shows that the BP Network L-M optimize arithmetic can be used broadly in the area of ground water dynamic,river water quality,at mosphere environment quality and so on.

参考文献/References:

[1] 丛爽.面向MATLAB 工具箱的神经网络理论与应用[M].合肥:中国科学技术大学出版社, 1998.
[2] 刘俊民.渭北黄土台原灌区新含水层地下水动态研究[A].现代燧人氏探索[M].西安:陕西师范大学出版社, 1992.
[3] 张忠永, 等.人工神经网络在地下水动态预测中的应用[J].辽宁工程技术大学学报, 2002, 2(4):21.
[4] 管新建, 等.基于BP神经网络的区域地下水动态预测[J].人民黄河, 2006, 28(8):78.
[5] 徐昕, 等.Matlab 工具箱应用指南-控制工程编M[M].北京:电子工业出版社, 2000.

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备注/Memo

收稿日期:2006-4-26。
基金项目:国家自然科学基金“黄土原灌区地下水新含水层形成机理与调控方式研究”（40271023）
作者简介:孔萌（1983- ），陕西商洛人，硕士，主要从事地下水动态预测模型和水资源优化配置研究。

更新日期/Last Update: 1900-01-01