Articles liés à Combustion Optimization Based on Computational Intelligence
Synopsis
Book-length examination of combustion optimization based on computational intelligence
Presents recent research outcomes in the past ten years, covering from fundamentals to applications
From authors widely recognized as the world-leading researchers in the subject area
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
À propos de l?auteur
Professor Hao Zhou received his Ph.D. degree from Zhejiang University in 2004. He is currently Deputy Director of State Key Laboratory of Clean Energy Utilization at Zhejiang University and Director of the Zhejiang University - University of Leeds joint research center for sustainable energy. His research interests include combustion optimization, low pollutant combustion technology for utility boilers, and neural network and support vector machine modeling methods. He has published over 20 academic papers and filed 7 patents in the areas of combustion pollutants control and combustion optimization since 2000.
Professor Kefa Cen is a member of the Chinese Academy of Engineering. He received his Ph.D. degree from Moscow Industrial Technology University and has expertise in clean coal combustion and gasification, poly-generation and comprehensive utilization of energy resources, as well as biomass gasification and bio-oil. He is currently Director of the Institute for Thermal Power Engineering at Zhejiang University and Chairman of the Chinese Society of Power Engineering's International Cooperation & Exchange Committee. He is also Editor-in-Chief of the Journal of Zhejiang University (Engineering Science) and the Journal of Renewable Energy. He has published over 800 academic papers and 15 books.
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Combustion Optimization Based on Computational Intelligence.
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Singapore, Springer., 2018
ISBN 10 : 9811078734
ISBN 13 : 9789811078736
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xxvi, 270 p. Hardcover. Versand aus Deutschland / We dispatch from Germany via Air Mail. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. Sprache: Englisch. N° de réf. du vendeur 42744HB
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Combustion Optimization Based on Computational Intelligence
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Springer Nature Singapore, 2018
ISBN 10 : 9811078734
ISBN 13 : 9789811078736
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Combustion Optimization Based on Computational Intelligence
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Springer Nature Singapore Feb 2018, 2018
ISBN 10 : 9811078734
ISBN 13 : 9789811078736
Neuf
Couverture rigide
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
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Buch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 296 pp. Englisch. N° de réf. du vendeur 9789811078736
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Combustion Optimization Based on Computational Intelligence (Advanced Topics in Science and Technology in China)
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Combustion Optimization Based on Computational Intelligence
Edité par
Springer Nature Singapore, Springer Nature Singapore Feb 2018, 2018
ISBN 10 : 9811078734
ISBN 13 : 9789811078736
Neuf
Couverture rigide
Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
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Buch. Etat : Neu. Neuware -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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 296 pp. Englisch. N° de réf. du vendeur 9789811078736
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Combustion Optimization Based on Computational Intelligence
Edité par
Springer Nature Singapore, Springer Nature Singapore, 2018
ISBN 10 : 9811078734
ISBN 13 : 9789811078736
Neuf
Couverture rigide
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
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Buch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - 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. N° de réf. du vendeur 9789811078736
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Combustion Optimization Based on Computational Intelligence (Advanced Topics in Science and Technology in China)
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Combustion Optimization Based on Computational Intelligence
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Combustion Optimization Based on Computational Intelligence (Advanced Topics in Science and Technology in China)
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