Development of model for sustainable nitrogen dioxide prediction using neuronal networks
Author:
Publisher
Springer Science and Business Media LLC
Subject
General Agricultural and Biological Sciences,Environmental Chemistry,Environmental Engineering
Link
http://link.springer.com/content/pdf/10.1007/s13762-019-02620-z.pdf
Reference30 articles.
1. Aghel B, Rezaei A, Mohadesi M (2019) Modeling and prediction of water quality parameters using a hybrid particle swarm optimization–neural fuzzy approach. Int J Environ Sci Technol 16:4823–4832
2. Asif Z, Chen Z, Zhu Z (2018) An integrated life cycle inventory and artificial neural network model for mining air pollution management. Int J Environ Sci Technol 16:1847–1856
3. Bandyopadhyay G, Chattopadhyay S (2007) Single hidden layer artificial neural network models versus multiple linear regression model in forecasting the time series of total ozone. Int J Environ Sci Tech 4(1):141–149
4. Bhardwaj R, Pruthi D (2018) Statistical time series and predictability analysis of nitrogen dioxide. Jnanabha Spec Issue 48:5–12
5. Bojja P, Nerella D, Chakka H (2017) Prediction of nitrogen dioxide & ozone concentrations in the ambient air using artificial neural networks for visakhapatnam model. Int J Pure Appl Math 117(19):83–88
Cited by 8 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. Bibliometric analysis of Indian research trends in air quality forecasting research using machine learning from 2007–2023 using Scopus database;Environmental Research and Technology;2024-04-20
2. Performance assessment of air quality monitoring networks. A specific case study and methodological approach;Air Quality, Atmosphere & Health;2022-10-03
3. An assessment model for mapping the susceptibility of deposits accumulation on insulators driven by remotely sensed data;International Journal of Environmental Science and Technology;2022-07-04
4. The Effect of the Acidic Gas Pollutant on Wool Keratin Fiber Structure;Journal of Natural Fibers;2022-02-02
5. Machine learned hybrid Gaussian analysis of COVID-19 pandemic in India;Results in Physics;2021-11
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