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Combustion Optimization Based on Computational Intelligence de Hao Zhou

Combustion Optimization Based on Computational Intelligence: Advanced Topics in Science and Technology in China

Autor Hao Zhou, Kefa Cen
en Limba Engleză Hardback – 26 feb 2018
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.
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Specificații

ISBN-13: 9789811078736
ISBN-10: 9811078734
Pagini: 296
Ilustrații: XXVI, 270 p. 229 illus., 129 illus. in color.
Dimensiuni: 160 x 241 x 22 mm
Greutate: 0.56 kg
Ediția:1st edition 2018
Editura: Springer
Colecția Advanced Topics in Science and Technology in China
Seria Advanced Topics in Science and Technology in China

Locul publicării:Singapore, Singapore

Cuprins

The influence of combustion parameters on NOx emissions and carbon burnout.- Modeling methods for combustion characteristics.- Neural network modeling of combustion characteristics.- Support vector machine modeling the combustion characteristics.- Combining neural network or support vector machine with optimization algorithms to optimize the combustion.- Online combustion optimization system.

Notă biografică

Wanchun Chen is a Professor and Doctoral Supervisor of Beihang University, Beijing, China. He received B.E. and M.E. in flight vehicle design and Ph.D. in flight dynamics and control from Beijing University of Aeronautics and Astronautics (now named Beihang University) in 1986, 1989 and 1995, respectively. His research interests are in the area of flight dynamics, guidance and control of aerospace vehicle, aerospace vehicle integrated design and analysis.
Hao Zhou is a Lecturer and master's Supervisor of Beihang University, Beijing, China. He received B.E. in aerodynamics from National University of Defense Technology and Ph.D. in flight vehicle design from Beijing University of Aeronautics and Astronautics (now named Beihang University) in 1998 and 2006, respectively. His research interests are in the area of flight dynamics, guidance and control of aerospace vehicle, aerospace vehicle integrated design and analysis.
Wenbin Yu is an Associate Professor and Doctoral Supervisor of Beihang University, Beijing, China. He received B.E. and Ph.D. in flight vehicle design from Beihang University in 2010 and 2016, respectively. His research interests are in the area of flight dynamics, guidance and control of aerospace vehicle, aerospace vehicle integrated design and analysis.
Liang Yang is a Lecturer and master's Supervisor of Beihang University, Beijing, China. He received B.E. in mechanical engineering and automation from Hunan Agricultural University and Ph.D. in flight vehicle design from Beihang University in 2008 and 2016, respectively. His research interests are in the area of flight dynamics, guidance and control of aerospace vehicle, aerospace vehicle integrated design and analysis.

Textul de pe ultima copertă

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.

Caracteristici

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 contributions by the world’s leading researchers in the field