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人工神经网络在湖泊富营养化评价中的应用研究
引用本文:刘首文,冯尚友.人工神经网络在湖泊富营养化评价中的应用研究[J].上海环境科学,1996,15(1):11-14.
作者姓名:刘首文  冯尚友
作者单位:武汉水利电力大学,武汉水利电力大学 武汉 430072,武汉 430072
基金项目:国家自然科学基金项目(59279382)资助
摘    要:运用人工神经网络技术评价湖泊富营养化程度。详细阐述了神经网络的结构设计,样本生成及学习算法,给出了通过训练得出的网络权和阈值,最后将此神经网络用于12个湖泊的富营养化评价,取得了较好的评价结果。

关 键 词:富营养化  评价  湖泊  神经网络

Application of Artificial Neural Network to Evaluation of Lake Eutrophication
Liu Shouwen Feng Shangyou.Application of Artificial Neural Network to Evaluation of Lake Eutrophication[J].Shanghai Environmental Science,1996,15(1):11-14.
Authors:Liu Shouwen Feng Shangyou
Institution:Liu Shouwen Feng Shangyou
Abstract:Evaluation of lake eutrophication by means of artificial neural network (ANN) was presented. Design of ANN structure, sample preparation and algorithm learning were discussed in detail. Then the network's weights and threshold value learned by training were put forward. Finally, the neural network has been applied to evaluation of eutrophication in twelve lakes, and achieved good results.
Keywords:Eutrophication Evaluation Artificial network
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