Self-optimization of training dataset improves forecasting of cyanobacterial bloom by machine learning
Author:
Publisher
Elsevier BV
Subject
Pollution,Waste Management and Disposal,Environmental Chemistry,Environmental Engineering
Reference71 articles.
1. Hints;Abu-Mostafa;Neural Comput.,1995
2. Predicting cyanobacterial harmful algal blooms (Cyanohabs) in a regulated river using a revised EFDC model;Ahn;Water,2021
3. Is your dataset big enough? Sample size requirements when using artificial neural networks for discrete choice analysis;Alwosheel;J.Choice Model.,2018
4. Harmful algal blooms and eutrophication: nutrient sources, composition, and consequences;Anderson;Estuaries,2002
5. Annual electricity consumption forecasting by neural network in high energy consuming industrial sectors;Azadeh;Energy Convers. Manag.,2008
Cited by 6 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. Pre-training enhanced spatio-temporal graph neural network for predicting influent water quality and flow rate of wastewater treatment plant: Improvement of forecast accuracy and analysis of related factors;Science of The Total Environment;2024-11
2. Using citizen science data for predicting the timing of ecological phenomena across regions;BioScience;2024-06
3. Detection and infectivity of SARS-CoV-2 in Korean municipal wastewater facilities and characterization of environmental factors influencing wastewater-bound SARS-CoV-2;Environmental Science: Water Research & Technology;2024
4. Recent advances and challenges in the analysis of natural toxins;Advances in Food and Nutrition Research;2024
5. Prediction of Cyanobacteria Using Decision Tree Algorithm and Sensor Monitoring Data;Applied Sciences;2023-11-13
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