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Journal of Chemical Engineering of Japan

Article . 2017 . Peer-reviewed

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Journal of Chemical Engineering of Japan

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A Fast Converging and Consistent Teaching-Learning-Self-Study Algorithm for Optimization: A Case Study of Tuning of LSSVM Parameters for the Prediction of NOx Emissions from a Tangentially Fired Pulverized Coal Boiler

descriptionPublicationkeyboard_double_arrow_right Article , Journal 01 Jan 2017Publisher:Informa UK LimitedJournal:Journal of Chemical Engineering of Japan, volume 50, pages 273-290 (issn: 0021-9592, eissn: 1881-1299,

Authors: Ho Young Park; Asad U. Khan; Jin Kuk Kim; Yeong Koo Yeo; Faisal Ahmed; Faisal Ahmed;

doi: 10.1252/jcej.16we002

A Fast Converging and Consistent Teaching-Learning-Self-Study Algorithm for Optimization: A Case Study of Tuning of LSSVM Parameters for the Prediction of NOx Emissions from a Tangentially Fired Pulverized Coal Boiler

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Fields of Science (3) View all

engineering and technology

electrical engineering, electronic engineering, information engineering

Fields of Science

engineering and technology

electrical engineering, electronic engineering, information engineering

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Energy Research