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

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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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Product Description

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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Product Details

General

Imprint

Springer Verlag, Singapore

Country of origin

Singapore

Series

Advanced Topics in Science and Technology in China

Release date

December 2018

Availability

Expected to ship within 10 - 15 working days

First published

2018

Authors

,

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

Barcode

9789811356780

Categories

LSN

981-13-5678-5



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