Combustion Optimization Based on Computational Intelligence

Nonfiction, Science & Nature, Science, Physics, Thermodynamics, Technology, Power Resources
Cover of the book Combustion Optimization Based on Computational Intelligence by Hao Zhou, Kefa Cen, Springer Singapore
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Author: Hao Zhou, Kefa Cen ISBN: 9789811078750
Publisher: Springer Singapore Publication: February 2, 2018
Imprint: Springer Language: English
Author: Hao Zhou, Kefa Cen
ISBN: 9789811078750
Publisher: Springer Singapore
Publication: February 2, 2018
Imprint: Springer
Language: English

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.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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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