NDLI: A comparison of representations for the prediction of ground-level ozone concentration

Content Provider	IEEE Xplore Digital Library
Author	Daniels, B. Corns, S. Cudney, E.
Copyright Year	2012
Description	Author affiliation: Engineering Management and Systems Engineering Department, Missouri University of Science and Technology, Rolla, USA (Daniels, B.; Corns, S.; Cudney, E.)
Abstract	This work presents a comparison of methods to predict ground-level ozone to highlight differences in the ability of the algorithms and to compare their performance to an established signal to noise based prediction method. Existing data related to weather conditions and ground-level ozone was divided into a training set and a test set. Three algorithms were trained using the training set to create predictors, which were then analyzed with the test set, and then compared to the Taguchi Method to determine performance. It was found that the newly introduced R-LCS performed well on this problem, predictors using the Taguchi method had a smaller deviation from actual results. This indicates an additional factor other than the level of correlation in the data that dictates how well these predictors perform on classification problems.
Starting Page	1
Ending Page	8
File Size	1505098
Page Count	8
File Format	PDF
ISBN	9781467315104
e-ISBN	9781467315098
e-ISBN	9781467315081
DOI	10.1109/CEC.2012.6252876
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-06-10
Publisher Place	Australia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Biological cells Evolutionary computation Standards Sensitivity Training Cancer Distributed databases classifier evolutionary computation predictor
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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