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水质评价的人工神经网络方法
引用本文:张文鸽,李会安,蔡大应. 水质评价的人工神经网络方法[J]. 东北水利水电, 2004, 22(10): 42-45
作者姓名:张文鸽  李会安  蔡大应
作者单位:黄委会黄河水利科学研究院,河南,郑州,450003;黄委会黄河水利科学研究院,河南,郑州,450003;黄委会黄河水利科学研究院,河南,郑州,450003
基金项目:国家自然科学基金项目(E090350239090)
摘    要:在分析BP神经网络算法的基础上,针对其某些不足,提出了几点改进措施。在此基础上,以宁夏水质评价为实例,探讨了人工神经网络在水质评价中的应用,并用VB语言编制了水质评价程序。结果表明,采用人工神经网络进行水环境质量评价,运算速度快,评价结果准确,具有广泛的应用前景。

关 键 词:人工神经网络  水质  评价
文章编号:1002-0624(2004)10-0042-04
修稿时间:2004-06-01

Artificial nerve network method of water quality evaluation
ZHANG Wen-ge,LI Hui-an,CAI Da-ying. Artificial nerve network method of water quality evaluation[J]. Water Resources & Hydropower of Northeast China, 2004, 22(10): 42-45
Authors:ZHANG Wen-ge  LI Hui-an  CAI Da-ying
Abstract:The paper puts forward some improved measures on basis of analysis of BP nerve network algorithm in accordance with some defects, discusses the application of ar5tificial nerve network in water quality evaluation taking Ningxia water quality evaluation as example, the water quality evaluation program writed by VB language. The result indicates that the artificial nerve network of water environment evaluation is fast, precise, the prospect of application is extensive.
Keywords:artificial nerve network  water quality  evaluation
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