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Titlebook: Combustion Optimization Based on Computational Intelligence; Hao Zhou,Kefa Cen Book 2018 Springer Nature Singapore Pte Ltd. and Zhejiang U

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書目名稱Combustion Optimization Based on Computational Intelligence
編輯Hao Zhou,Kefa Cen
視頻videohttp://file.papertrans.cn/231/230107/230107.mp4
概述Provides a book-length examination of combustion optimization based on computational intelligence.Presents advances made in the past ten years, ranging from fundamentals to applications.Includes contr
叢書名稱Advanced Topics in Science and Technology in China
圖書封面Titlebook: Combustion Optimization Based on Computational Intelligence;  Hao Zhou,Kefa Cen Book 2018 Springer Nature Singapore Pte Ltd. and Zhejiang U
描述.This book presents the latest findings on the subject of combustion optimization based on computational intelligence. It covers a broad range of topics, including the modeling of coal combustion characteristics based on artificial neural networks and support vector machines. It also describes the optimization of combustion parameters using genetic algorithms or ant colony algorithms, an online coal optimization system, etc. Accordingly, the book offers a unique guide for researchers in the areas of combustion optimization, NOx emission control, energy and power engineering, and chemical engineering..
出版日期Book 2018
關(guān)鍵詞ATSTC; Carbon Burnout; Combustion Optimization; Computational Intelligence; NOx Emission; ZJUP
版次1
doihttps://doi.org/10.1007/978-981-10-7875-0
isbn_softcover978-981-13-5678-0
isbn_ebook978-981-10-7875-0Series ISSN 1995-6819 Series E-ISSN 1995-6827
issn_series 1995-6819
copyrightSpringer Nature Singapore Pte Ltd. and Zhejiang University Press, Hangzhou 2018
The information of publication is updating

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Modeling Methods for Combustion Characteristics, compared, respectively, with economic and accuracy. The former focuses on the detailed and accurate information about coal combustion, including ash content, fusion temperature, flame temperature, and flue gas. Many CFD methods, such as turbulence model and radiative heat transfer model, are introd
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Online Combustion Optimization System,ion and the need of the local optimization are summarized, such as data detection requirements, quickness and accuracy requirements, requirements of different optimization goal, requirements online self-learning, parameter optimization limit requirements, fault tolerance requirements, alarm requirem
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Book 2018cs, including the modeling of coal combustion characteristics based on artificial neural networks and support vector machines. It also describes the optimization of combustion parameters using genetic algorithms or ant colony algorithms, an online coal optimization system, etc. Accordingly, the book
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