| 用微生物群落评价水系的自组织人工神经网络方法 |
| |
| 引用本文： | 蔡煜东,许伟杰.用微生物群落评价水系的自组织人工神经网络方法[J].中国环境科学,1994,14(6):0-0. |
| |
| 作者姓名： | 蔡煜东 许伟杰 |
| |
| 作者单位： | 中国科学院上海冶金研究所 |
| |
| 摘 要： | 利用原生物群落在PFU上群集过程中的变化，可以评价水质和监测水污染，运用T．Kohonen自组织人工神经网络模型，根据NacArthur－Wilson平衡模型提出了3个功能参数和另外2个结构参数，对常德市16个站四季的水质进行了分析，建立了水质污染程度预测的计算机智能专家系统，预测成功率达100％。
|
| 关 键 词： | 微型生物群落 水质评价 人工神经网络 T．Kohonen自组织模型 |
| 收稿时间： | 1900-01-01; |
SELF-ORGANIZATION ARTIFICIAL NEURAL NETWORK APPROACH FOR ASSESSMENT OF WATER SYSTEM BASED ON MICROBIAL COMMUNITIES |
| |
| Cai Yudong,Xu Weijie.SELF-ORGANIZATION ARTIFICIAL NEURAL NETWORK APPROACH FOR ASSESSMENT OF WATER SYSTEM BASED ON MICROBIAL COMMUNITIES[J].China Environmental Science,1994,14(6):0-0. |
| |
| Authors: | Cai Yudong Xu Weijie |
| |
| Abstract: | n this paper, Water quality of 16 stations in Changde City forfour seasons from 1986-1987 is analysed with T.Kohonen self-organization neuralnetwork on three functional parameters put forward on the basis of MacArthurWilsons model and other two structural parameters. And the computer intelligential system for predicting the pollution level of water quality has been constructed. The success rate reaches 100%.The results show, that the neuralnetwork model is good: and therefore,it might be an effective technique for assessment of water quality. |
| |
| Keywords: | Microbial communities Assessment of water quality Artificial neural network T Kohonen self-organization model |
| 本文献已被 CNKI 等数据库收录！ |
| 点击此处可从《中国环境科学》浏览原始摘要信息 |
| 点击此处可从《中国环境科学》下载免费的PDF全文 |
