Assessing the accuracy of ANFIS, EEMD-GRNN, PCR, and MLR models in predicting PM2.5-Reference-Cited by-同舟云学术

Assessing the accuracy of ANFIS, EEMD-GRNN, PCR, and MLR models in predicting PM2.5

Published:2016-10 Issue: Volume:142 Page:465-474
ISSN:1352-2310
Container-title:Atmospheric Environment
language:en
Short-container-title:Atmospheric Environment

Author:

Ausati Shadi,Amanollahi Jamil

Publisher

Elsevier BV

Subject

Atmospheric Science,General Environmental Science

Reference56 articles.

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4. PM10 emission forecasting using artificial neural networks and genetic algorithm input variable optimization;Antanasijevic;Sci. Total. Environ.,2013

5. A nonlinear regression model estimating single source concentrations of primary and secondarily formed PM2.5;Baker;Atmos. Environ.,2011

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