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Combustion Optimization Based on Com...

Cen, Kefa.

Combustion Optimization Based on Computational Intelligence

Record Type:	Electronic resources : Monograph/item
Title/Author:	Combustion Optimization Based on Computational Intelligenceby Hao Zhou, Kefa Cen.
Author:	Zhou, Hao.
other author:	Cen, Kefa.
Published:	Singapore :Springer Singapore :2018.
Description:	xxvi, 270 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer eBooks
Subject:	CombustionMathematical models.
Online resource:	http://dx.doi.org/10.1007/978-981-10-7875-0
ISBN:	9789811078750$q(electronic bk.)

Combustion Optimization Based on Computational Intelligence
Zhou, Hao.

Combustion Optimization Based on Computational Intelligence[electronic resource] /by Hao Zhou, Kefa Cen. - Singapore :Springer Singapore :2018. - xxvi, 270 p. :ill. (some col.), digital ;24 cm. - Advanced topics in science and technology in China,1995-6819. - Advanced topics in science and technology in China..

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.

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.

ISBN: 9789811078750$q(electronic bk.)

Standard No.: 10.1007/978-981-10-7875-0doiSubjects--Topical Terms:

234958
Combustion
--Mathematical models.

LC Class. No.: TJ254.5

Dewey Class. No.: 621.4023

Combustion Optimization Based on Computational Intelligence
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245 1 0 $a Combustion Optimization Based on Computational Intelligence $h [electronic resource] / $c by Hao Zhou, Kefa Cen.
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300 $a xxvi, 270 p. : $b ill. (some col.), digital ; $c 24 cm.
490 1 $a Advanced topics in science and technology in China, $x 1995-6819
505 0 $a 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.
520 $a 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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