Environmental Factors Assisted the Evaluation of Entropy Water Quality Indices with Efficient Machine Learning Technique
Author:
Funder
Natural Science Foundation of Hubei Province
Publisher
Springer Science and Business Media LLC
Subject
Water Science and Technology,Civil and Structural Engineering
Link
https://link.springer.com/content/pdf/10.1007/s11269-022-03126-z.pdf
Reference27 articles.
1. Ahsan WA, Ahmad HR, Farooqi ZUR et al (2021) Surface water quality assessment of Skardu springs using Water Quality Index. Environ Sci Pollut Res 28:20537–20548. https://doi.org/10.1007/s11356-020-11818-5
2. Bansal S, Ganesan G (2019) Advanced Evaluation Methodology for Water Quality Assessment Using Artificial Neural Network Approach. Water Resour Manage 33:3127–3141. https://doi.org/10.1007/s11269-019-02289-6
3. Bodyanskiy YV, Deineko AO, Kutsenko YV (2017) On-line kernel clustering based on the general regression neural network and T. Kohonen’s self-organizing map. Autom Control Comput Sci 51:55–62. https://doi.org/10.3103/S0146411617010023
4. Busico G, Kazakis N, Cuoco E et al (2020) A novel hybrid method of specific vulnerability to anthropogenic pollution using multivariate statistical and regression analyses. Water Res 171. https://doi.org/10.1016/j.watres.2019.115386
5. Christopher JC, Burges (1998) A Tutorial on Support Vector Machines for Pattern Recognition. Data Min Knowl Disc 2:121–167
Cited by 9 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Effects of land use patterns on seasonal water quality in Chinese basins at multiple temporal and spatial scales;Ecological Indicators;2024-09
2. Data-driven water quality prediction in Dagu River Basin, Jiaozhou Bay;Proceedings of the 2024 International Conference on Smart City and Information System;2024-05-17
3. Monitoring network optimization and impact of fish farming upon water quality in the Três Marias Hydroelectric Reservoir, Brazil;Environmental Science and Pollution Research;2024-01-23
4. Recent Advances in Surface Water Quality Prediction Using Artificial Intelligence Models;Water Resources Management;2023-11-30
5. Artificial Intelligence Generated Synthetic Datasets as the Remedy for Data Scarcity in Water Quality Index Estimation;Water Resources Management;2023-10-28
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3