摘要
为了探索人工神经网络用于湖泊营养化评价的可能性，提出了基于多准则学习的模糊神经网络湖泊水质营养化评价模型。该模型应用于我国五大主要湖泊水质营养化的评价结果表明，模糊神经网络用于湖泊水质营养化评价，具有简便、实用、客观性和广泛的通用性。
In order to study the practicability of the application of artificial neural network to the evaluation of lake eutrophication, this paper is concerned with the assessment model of lake eutrophication by using fuzzy neural network with multi-criteria learning algorithm. The eutrophication evaluation results of China's five main lakes show that it possesses objectivity, generality and practicability to evaluate lake eutrophication by means of fuzzy artificial neural network.
出处
《环境科学研究》
EI
CAS
CSCD
北大核心
1998年第4期40-42,共3页
Research of Environmental Sciences
关键词
湖泊
富营养化评价
模糊神经网络
水质评价
Evaluation of lake eutrophication
Fuzzy neural network
Multi criteria learning
