Combustion Optimization Based on Computational Intelligence (Paperback, Softcover reprint of the original 1st ed. 2018)

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.

General

Imprint:	Springer Verlag, Singapore
Country of origin:	Singapore
Series:	Advanced Topics in Science and Technology in China
Release date:	December 2018
First published:	2018
Authors:	Hao Zhou • Kefa Cen
Dimensions:	235 x 155 x 16mm (L x W x T)
Format:	Paperback
Pages:	270
Edition:	Softcover reprint of the original 1st ed. 2018
ISBN-13:	978-981-13-5678-0
Categories:	Books > Professional & Technical > Energy technology & engineering > General Books > Professional & Technical > Industrial chemistry & manufacturing technologies > Industrial chemistry > General Books > Professional & Technical > Mechanical engineering & materials > Materials science > Engineering thermodynamics Books > Computing & IT > Applications of computing > Artificial intelligence > General
LSN:	981-13-5678-5
Barcode:	9789811356780

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