Grey extended prediction model based on IRLS and its application on smog pollution-Reference-Cited by-同舟云学术

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Grey extended prediction model based on IRLS and its application on smog pollution

Published:2019-07 Issue: Volume:80 Page:797-809
ISSN:1568-4946
Container-title:Applied Soft Computing
language:en
Short-container-title:Applied Soft Computing

Author:

Xiong Ping-ping^ORCID,Yan Wen-jie,Wang Gui-zhi,Pei Ling-ling

Funder

National Natural Science Foundation of China

Major Program of the National Social Science Fund of China

Ministry of Education Humanities and Social Sciences Research Youth Subsidy Project in China

Key Research Project of Philosophy and Social Sciences in Universities of Jiangsu Province

China Postdoctoral Foundation Project

Opening Foundation of China Manufacturing Development Research Institute

Publisher

Elsevier BV

Subject

Software

Reference34 articles.

1. Artificial intelligence based on approach to forecast PM2.5 during haze episodes: A case study of Delhi, India;Mishra;Atmos. Environ.,2015

2. Forecasting of air quality index in Delhi using neural network based on principal component analysis;Kumar;Pure Appl. Geophys.,2013

3. Air quality prediction in milan: feed-forward neural networks, pruned neural networks and lazy learning;Corani;Ecol. Model.,2005

4. Analysis and forecasting of the particulate matter (PM) concentration levels over four major cities of China using hybrid models;Qin;Atmos. Environ.,2014

5. A new air quality monitoring and early warning system: Air quality assessment and air pollutant concentration prediction;Yang;Environ. Res.,2017

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