Applying ensemble learning techniques to ANFIS for air pollution index prediction in Macau

doi:10.1007/978-3-642-31346-2_57

UM > Faculty of Science and Technology > DEPARTMENT OF ELECTRICAL AND COMPUTER ENGINEERING

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	Applying ensemble learning techniques to ANFIS for air pollution index prediction in Macau
	Lei K.S.; Wan F.
	2012-08-23
Conference Name	Ninth International Symposium on Neural Networks (ISNN 2012)
Source Publication	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	7367 LNCS
Issue	PART 1
Pages	509-516
Conference Date	July 11-14, 2012
Conference Place	Shenyang
Abstract	Nowadays, the conception on environmental protection is increasingly rising up and one of the critical environmental issues is the air pollution due to the rapidly growth of economy and population. Hence, a significant forecasting for the air pollution index (API) becomes important as it can act as the alarm for alerting our awareness in the air pollution issue. In this research, an architecture for ensembles of ANFIS (Adaptive Neuro-Fuzzy Inference System) is proposed for forecasting the Macau API and the performance of the proposed method is compared with the conventional ANFIS and the results is verified by the performance indexes, Root Mean Square Error (RMSE) and Average Percentage Error (APE), showing that a promising result can be achieved. © 2012 Springer-Verlag.
Keyword	Anfis Api Ensemble Learning Rmse
DOI	10.1007/978-3-642-31346-2_57
URL	View the original
Language	英語English
Scopus ID	2-s2.0-84865146329
Fulltext Access	View Full-Text via DOI View Full-Text via Scopus
Citation statistics
Document Type	Conference paper
Collection	DEPARTMENT OF ELECTRICAL AND COMPUTER ENGINEERING
Corresponding Author	Wan F.
Affiliation	Universidade de Macau
First Author Affilication	University of Macau
Corresponding Author Affilication	University of Macau
Recommended Citation GB/T 7714	Lei K.S.,Wan F.. Applying ensemble learning techniques to ANFIS for air pollution index prediction in Macau[C], 2012, 509-516.
APA	Lei K.S.., & Wan F. (2012). Applying ensemble learning techniques to ANFIS for air pollution index prediction in Macau. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 7367 LNCS(PART 1), 509-516.

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