Combustion Optimization Based on Computational Intelligence
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 supp
- PDF / 14,624,943 Bytes
- 291 Pages / 453.543 x 683.15 pts Page_size
- 100 Downloads / 191 Views
Hao Zhou Kefa Cen
Combustion Optimization Based on Computational Intelligence
Advanced Topics in Science and Technology in China
Zhejiang University is one of the leading universities in China. In Advanced Topics in Science and Technology in China, Zhejiang University Press and Springer jointly publish monographs by Chinese scholars and professors, as well as invited authors and editors from abroad who are outstanding experts and scholars in their fields. This series will be of interest to researchers, lecturers, and graduate students alike. Advanced Topics in Science and Technology in China aims to present the latest and most cutting-edge theories, techniques, and methodologies in various research areas in China. It covers all disciplines in the fields of natural science and technology, including but not limited to, computer science, materials science, life sciences, engineering, environmental sciences, mathematics, and physics.
More information about this series at http://www.springer.com/series/7887
Hao Zhou Kefa Cen •
Combustion Optimization Based on Computational Intelligence
123
Hao Zhou Zhejiang University Hangzhou, Zhejiang China
Kefa Cen Institute for Thermal Power Engineering Zhejiang University Hangzhou, Zhejiang China
ISSN 1995-6819 ISSN 1995-6827 (electronic) Advanced Topics in Science and Technology in China ISBN 978-981-10-7873-6 ISBN 978-981-10-7875-0 (eBook) https://doi.org/10.1007/978-981-10-7875-0 Jointly published with Zhejiang University Press, Hangzhou, China The print edition is not for sale in China Mainland. Customers from China Mainland please order the print book from: Zhejiang University Press Library of Congress Control Number: 2017963634 © Springer Nature Singapore Pte Ltd. and Zhejiang University Press, Hangzhou 2018 This work is subject to copyright. All rights are reserved by the Publishers, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use. The publishers, the authors and the editors are safe to assume that the advice and information in this book are believed to be true and accurate at the date of publication. Neither the publishers nor the authors or the editors give a warranty, express or implied, with respect to the material contained herein or for any errors or omissions that may have been made. The publishers remains neutral with regard to jurisdictional claims in published maps and institutional affiliations. Printed on acid-free paper This Springer imprint is pu
Data Loading...
