NDLI: Usage of output-dependent data scaling in modeling and prediction of air pollution daily concentration values (PM10) in the city of Konya

Content Provider	Springer Nature Link
Author	Polat, Kemal Durduran, S. Savaş
Copyright Year	2011
Abstract	This paper presents the combination of a data preprocessing called output-dependent data scaling (ODDS) and adaptive network-based fuzzy inference system (ANFIS) to predict the air pollution daily levels including particulate matter (PM10) concentration values belonging to the city of Konya in Turkey. Also, we have used the regression models including least square regression, partial least square regression, and multivariate linear regression as prediction models in addition to ANFIS model. Data transformation or normalization methods should be used to increase the performance of used prediction models and are used prior to prediction algorithms. In this study, we have used the output-dependent data scaling method as data transformation method and combined it with ANFIS and regression models. PM10 concentration dataset has been taken from Air Quality Statistics database of Turkish Statistical Institute. In PM10 concentration dataset, the mean values belonging to seasons of winter period have been used with the aim of watching the air pollution changes between dates of December, 1, 2003 and December, 30, 2005 in the city of Konya. In the forecasting of PM10 concentration in Konya province, temperature (°C), humidity (%), pressure (kPa), and wind velocity (km/h) attributes have been used. The experimental results demonstrated that the ODDS method has obtained very promising results in the prediction of PM10 concentration values.
Starting Page	2153
Ending Page	2162
Page Count	10
File Format	PDF
ISSN	09410643
Journal	Neural Computing and Applications
Volume Number	21
Issue Number	8
e-ISSN	14333058
Language	English
Publisher	Springer-Verlag
Publisher Date	2011-06-22
Publisher Place	London
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Output-dependent data scaling PM10 Prediction Adaptive network-based fuzzy inference system Linear regression models Air pollution Computational Biology/Bioinformatics Computational Science and Engineering Image Processing and Computer Vision Artificial Intelligence (incl. Robotics) Data Mining and Knowledge Discovery Probability and Statistics in Computer Science
Content Type	Text
Resource Type	Article
Subject	Artificial Intelligence Software

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