Coverart for item
The Resource Combustion Optimization Based on Computational Intelligence, Hao Zhou, Kefa Cen

Combustion Optimization Based on Computational Intelligence, Hao Zhou, Kefa Cen

Label
Combustion Optimization Based on Computational Intelligence
Title
Combustion Optimization Based on Computational Intelligence
Statement of responsibility
Hao Zhou, Kefa Cen
Creator
Contributor
Author
Subject
Language
eng
Summary
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
Member of
Cataloging source
UPM
http://library.link/vocab/creatorName
Zhou, Hao
Dewey number
  • 621.402/3
  • 658.26
Illustrations
illustrations
Index
index present
LC call number
  • TJ254.5
  • T58.8
LC item number
.Z46 2018
Literary form
non fiction
Nature of contents
  • dictionaries
  • bibliography
http://library.link/vocab/relatedWorkOrContributorName
Cen, Kefa
Series statement
Advanced Topics in Science and Technology in China,
http://library.link/vocab/subjectName
  • Combustion
  • Computational intelligence
  • Chemical engineering
  • Electric power production
  • Thermodynamics
  • Heat engineering
  • Heat
  • Mass transfer
Label
Combustion Optimization Based on Computational Intelligence, Hao Zhou, Kefa Cen
Instantiates
Publication
Antecedent source
mixed
Bibliography note
Includes bibliographical references and index
Carrier category
online resource
Carrier category code
cr
Carrier MARC source
rdacarrier
Color
not applicable
Content category
text
Content type code
txt
Content type MARC source
rdacontent
Contents
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
Control code
SPR1026994599
Dimensions
unknown
Extent
1 online resource (xxvi, 270 pages)
File format
multiple file formats
Form of item
online
Isbn
9789811078750
Level of compression
uncompressed
Media category
computer
Media MARC source
rdamedia
Media type code
c
Other control number
10.1007/978-981-10-7875-0
Other physical details
229 illustrations, 129 illustrations in color
Quality assurance targets
absent
Reformatting quality
access
Specific material designation
remote
System control number
  • on1026994599
  • (OCoLC)1026994599
Label
Combustion Optimization Based on Computational Intelligence, Hao Zhou, Kefa Cen
Publication
Antecedent source
mixed
Bibliography note
Includes bibliographical references and index
Carrier category
online resource
Carrier category code
cr
Carrier MARC source
rdacarrier
Color
not applicable
Content category
text
Content type code
txt
Content type MARC source
rdacontent
Contents
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
Control code
SPR1026994599
Dimensions
unknown
Extent
1 online resource (xxvi, 270 pages)
File format
multiple file formats
Form of item
online
Isbn
9789811078750
Level of compression
uncompressed
Media category
computer
Media MARC source
rdamedia
Media type code
c
Other control number
10.1007/978-981-10-7875-0
Other physical details
229 illustrations, 129 illustrations in color
Quality assurance targets
absent
Reformatting quality
access
Specific material designation
remote
System control number
  • on1026994599
  • (OCoLC)1026994599

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