| 湖泊水质富营养化评价的模糊神经网络方法 |
| |
| 引用本文： | 胡明星,郭达志.湖泊水质富营养化评价的模糊神经网络方法[J].环境科学研究,1998,11(4):40-42. |
| |
| 作者姓名： | 胡明星 郭达志 |
| |
| 作者单位： | 中国矿业大学,徐州 221008 |
| |
| 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。
|
| 关 键 词： | 湖泊富营养化评价 模糊神经网络 多准则学习 |
| 收稿时间： | 1997/4/4 0:00:00 |
Evaluation of Lake Eutrophication by Means of Fuzzy Neural Network |
| |
| HU Ming-xing and GUO Da-zhi.Evaluation of Lake Eutrophication by Means of Fuzzy Neural Network[J].Research of Environmental Sciences,1998,11(4):40-42. |
| |
| Authors: | HU Ming-xing and GUO Da-zhi |
| |
| Institution: | Chinese University of Mining Technology, Xuzhou 221008 |
| |
| Abstract: | 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. |
| |
| Keywords: | Evaluation of lake eutrophication Fuzzy neural network Multi criteria learning |
| 本文献已被 CNKI 维普 等数据库收录！ |
| 点击此处可从《环境科学研究》浏览原始摘要信息 |
| 点击此处可从《环境科学研究》下载免费的PDF全文 |
