Research on air pollutant concentration prediction method based on self-adaptive neuro-fuzzy weighted extreme learning machine-Reference-Cited by-同舟云学术

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Research on air pollutant concentration prediction method based on self-adaptive neuro-fuzzy weighted extreme learning machine

Published:2018-10 Issue: Volume:241 Page:1115-1127
ISSN:0269-7491
Container-title:Environmental Pollution
language:en
Short-container-title:Environmental Pollution

Author:

Li Yongan,Jiang Peng^ORCID,She Qingshan^ORCID,Lin Guang

Funder

National Key R&D Program of China

Provincial Key R&D Program of Zhejiang Province

International Science and Technology Cooperation Program of Zhejiang Province for Joint Research in High-tech Industry

National Natural Science Foundation of China and Zhejiang Joint Fund for Integrating of Informatization and Industrialization

Publisher

Elsevier BV

Subject

Health, Toxicology and Mutagenesis,Pollution,Toxicology,General Medicine

Reference32 articles.

1. Classification of air quality using fuzzy synthetic multiplication;Abdullah;Environ. Monit. Assess.,2012

2. An integrated fuzzy AHP and fuzzy MOORA approach to the problem of industrial engineering sector choosing;Akkaya;Expert Syst. Appl.,2015

3. Evaluation of the community multiscale air quality (CMAQ) model version 4.5: sensitivities impacting model performance; part II—particulate matter;Appel;Atmos. Environ.,2008

4. Prediction of hourly air pollutant concentrations near urban arterials using artificial neural network approach;Cai;Transport. Res. Transport Environ.,2009

5. Realtime training on mobile devices for face recognition applications;Choi;Pattern Recogn.,2011

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