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Combustion Optimization Based on Computational Intelligence
正題名/作者 ： Combustion Optimization Based on Computational Intelligence/ by Hao Zhou, Kefa Cen.
作者 ： Zhou, Hao.
其他作者 ： Cen, Kefa.
出版者 ： Singapore :Springer Singapore :2018.
面頁冊數 ： xxvi, 270 p. :ill. (some col.), digital ;24 cm.
Contained By ： Springer eBooks
標題 ： Combustion - Mathematical models. -
電子資源 ： 線上閱讀(Springer)
ISBN ： 9789811078750$q(electronic bk.)
ISBN ： 9789811078736$q(paper)
LEADER 01852cmm 2200229 a 450
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008 180202s2018 si s 0 eng d
020 $a9789811078750$q(electronic bk.)
020 $a9789811078736$q(paper)
035 $a00334165
041 0 $aeng
050 4$aTJ254.5
082 04$a621.4023$223
090 $aE-BOOK/621.4023///UE027969
100 1 $aZhou, Hao.$3506938
245 10$aCombustion Optimization Based on Computational Intelligence$h[electronic resource] /$cby Hao Zhou, Kefa Cen.
260 $aSingapore :$bSpringer Singapore :$bImprint: Springer,$c2018.
300 $axxvi, 270 p. :$bill. (some col.), digital ;$c24 cm.
490 1 $aAdvanced topics in science and technology in China,$x1995-6819
505 0 $aThe 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 $aThis book presents the latest findings on the subject of combustion optimization based on computational intelligence. It covers a broad range of topics, including the modeling of coal combustion characteristics based on artificial neural networks and support vector machines. It also describes the optimization of combustion parameters using genetic algorithms or ant colony algorithms, an online coal optimization system, etc. Accordingly, the book offers a unique guide for researchers in the areas of combustion optimization, NOx emission control, energy and power engineering, and chemical engineering.
650 0$aCombustion$xMathematical models.$3509500
650 0$aComputational intelligence.$3228586
650 14$aEnergy.$3238455
650 24$aEnergy Efficiency.$3446937
650 24$aEngineering Thermodynamics, Heat and Mass Transfer.$3402020
650 24$aEnergy Technology.$3402982
650 24$aIndustrial Chemistry/Chemical Engineering.$3402440
650 24$aComputational Intelligence.$3401779
700 1 $aCen, Kefa.$3509499
710 2 $aSpringerLink (Online service)$3374217
773 0 $tSpringer eBooks
830 0$aAdvanced topics in science and technology in China.$3469427
856 40$uhttps://erm.library.ntpu.edu.tw/login?url=http://dx.doi.org/10.1007/978-981-10-7875-0$z線上閱讀(Springer)
950 $aEnergy (Springer-40367)
Zhou, Hao.
Combustion Optimization Based on Computational Intelligence[electronic resource] /by Hao Zhou, Kefa Cen. - Singapore :Springer Singapore :2018. - xxvi, 270 p. :ill. (some col.), digital ;24 cm. - Advanced topics in science and technology in China,1995-6819. - Advanced topics in science and technology in China..
The influence of combustion parameters on NOx emissions and carbon burnout -- Modeling methods for combustion characteristics -- Neural network modeling of combustion characteristics -- Support vector machine modeling the combustion characteristics -- Combining neural network or support vector machine with optimization algorithms to optimize the combustion -- Online combustion optimization system.
This book presents the latest findings on the subject of combustion optimization based on computational intelligence. It covers a broad range of topics, including the modeling of coal combustion characteristics based on artificial neural networks and support vector machines. It also describes the optimization of combustion parameters using genetic algorithms or ant colony algorithms, an online coal optimization system, etc. Accordingly, the book offers a unique guide for researchers in the areas of combustion optimization, NOx emission control, energy and power engineering, and chemical engineering.
ISBN: 9789811078750$q(electronic bk.)Subjects--Topical Terms:
509500
Combustion
--Mathematical models.
LC Class. No.: TJ254.5
Dewey Class. No.: 621.4023
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.)Subjects--Topical Terms:
509500
Combustion
--Mathematical models.
LC Class. No.: TJ254.5
Dewey Class. No.: 621.4023
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