摘要: |
在采用权重贡献率分析法优选因子和确定因子权值的基础上,应用B-P人工神经网络对南湖水质富营养化进行综合评价,并将B-P法评价结果与用分级评分法的评价结果进行了比较,其结果与目前通用的评分法的评价结果一致。 |
关键词: 人工神经网络 B-P算法 富营养化 |
DOI: |
投稿时间:1998-11-24 |
基金项目:广西重点课题《南湖富营养化及防止途径的研究》的子课题 |
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Assesment on the Eutrophication of Water Quality of Lake Nanhu with the Artificial Neutral Network |
Xie Hongbin
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(Environmental Monitoring Station of Nanning, Nanning, 530012) |
Abstract: |
Based on the optimization and the determination of weight values for the factors by using the weight analysis of contribution rates,use is being made of the comprehensive assessment for the water quality eutrophication of Lake Nanhu using B-P artificial neutral network.The comparison was made for the assessment results between the methods of the B-P artificial neutral network and the classified mark.The assessment results coincide with the cases of water quality eutrophication of Lake Nanhu. |
Key words: artificial neutral network B-P algorithm eutrophication |