國立虎尾科技大學 |

Combustion Optimization Based on Computational Intelligence

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
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.
面頁冊數:	XXVI, 270 p. 229 illus., 129 illus. in color.online resource. :
Contained By:	Springer Nature eBook
標題:	Energy efficiency. -
電子資源:	https://doi.org/10.1007/978-981-10-7875-0
ISBN:	9789811078750

Combustion Optimization Based on Computational Intelligence
Zhou, Hao.

Combustion Optimization Based on Computational Intelligence[electronic resource] /by Hao Zhou, Kefa Cen. - 1st ed. 2018. - XXVI, 270 p. 229 illus., 129 illus. in color.online resource. - 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

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

1175986
Energy efficiency.

LC Class. No.: T58.8

Dewey Class. No.: 658.26

Combustion Optimization Based on Computational Intelligence
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