Application of an Evaluation Model Based on Fuzzy Mathematica to Ganjiang River Water Quality

机译：评价模型在模糊数学对赣江水水质的应用

获取原文

获取外文期刊封面目录资料

页面导航

摘要
著录项
引文网络
相似文献
相关主题

摘要

The author chiefly introduces a comprehensive evaluation model for water quality which was established based on the fuzzy approximate deduction and the maximum membership degree principle. Its application to Ganjiang River in Ganzhou city area water quality assessment, evaluation results: In rainy period, water quality is at Grade???and Grade???, In flat water period, water quality is at Grade???and Grade???, in dry season, quality is at Grade???, Grade??? and Grade ???.

机译：作者主要介绍了一种综合评估模型，用于基于模糊近似扣除和最大隶属度原则建立的水质评价模型。它在赣州市赣江河的应用水质评估，评价结果：在雨季，水质是等级???和等级???，在平坦的水位，水质是等级???和等级？ ??，在旱季，质量为年级???，等级???和等级???

著录项

来源
《International Conference on Artificial Intelligence and Computational Intelligence》|2010年||共4页
会议地点
作者
Xiujuan Feng; Li Du; Peiyun Chen; Feng Shun;
展开▼
作者单位

展开▼
会议组织
原文格式 PDF
正文语种
中图分类 TP3-53;
关键词
evaluation model; fuzzy membership; fuzzy membership function; water quality assessment;

机译：评估模型;模糊会员资格;模糊会员函数;水质评估;

相似文献

外文文献
中文文献
专利

1. A STUDY OF THE CHARACTERISTICS OF UTILIZATION EFFICIENCY OF WATER RESOURCES IN GANJIANG RIVER BASIN BASED ON DEA MODEL [J] . Xuan Liu, Bing He, Qifan Dai, Fresenius environmental bulletin . 2020,第10期

机译：基于DEA模型的赣江流域水资源利用效率特征研究
2. Resource competitions of Microcystis aeruginosa, Scenedesmus quadricauda and Nitaschia palea under ammonium limited/An improved BP neural network based on evaluating and forecasting model of water quality in Second Songhua River of China/Response of Ruppia maritima to the reclaimed wastewater in coastal artificial landscape river [J] . 中国地球化学学报（英文版） . 2006,第0z1期

机译：铵盐限制下的铜绿微囊藻，四线藻和褐飞虱的资源竞争/基于中国松花江第二水质水质评估和预测模型的改进BP神经网络/滨海褐质对沿海人工景观河再生废水的响应
3. A comparative study of fuzzy logic-based models for groundwater quality evaluation based on irrigation indices [J] . Meysam Vadiati, Deasy Nalley, Jan Adamowski, Journal of Water and Land Development . 2019,第1期

机译：基于灌溉指标的地下水质量评价模糊逻辑模型的比较研究
4. Application of an Evaluation Model Based on Fuzzy Mathematica to Ganjiang River Water Quality [C] . Xiujuan Feng, Li Du, Peiyun Chen, 2010 International Conference on Artificial Intelligence and Computational Intelligence . 2010

机译：模糊数学评价模型在赣江水质中的应用
5. An evaluation of uncertainty in water quality modeling for the Lower Rio Grande River using Qual2E-UNCAS and neural networks (Texas, Mexico). [D] . Parvathinathan, Gomathishankar. 2002

机译：使用Qual2E-UNCAS和神经网络（墨西哥得克萨斯州）评估下里奥格兰德河水质模型的不确定性。
6. Assessment of River Water Quality Based on an Improved Fuzzy Matter-Element Model [O] . Yumin Wang, Weijian Ran, Lei Wu, 2019

机译：基于改进的模糊物元模型的河流水质评价
7. Community structure of macrozoobenthos and biological evaluation of water quality in lower reaches of Ganjiang River [O] . DING Jianhua, YANG Wei, JIN Xianwen, 2012

机译：甘江下游宏杂粮的社区结构及水质的生物学评价
8. Modeling-Based Evaluation of the Effect of Wastewater Application Practices onGroundwater Quality [R] . Reynolds, C. M., Iskandar, I. K. 1995

机译：基于模型的污水处理实践对地下水水质影响评价

Application of an Evaluation Model Based on Fuzzy Mathematica to Ganjiang River Water Quality

摘要

著录项

引文网络

相似文献

相关主题

期刊订阅