書目名稱 | Combustion Optimization Based on Computational Intelligence |
編輯 | Hao Zhou,Kefa Cen |
視頻video | http://file.papertrans.cn/231/230107/230107.mp4 |
概述 | Provides a book-length examination of combustion optimization based on computational intelligence.Presents advances made in the past ten years, ranging from fundamentals to applications.Includes contr |
叢書名稱 | Advanced Topics in Science and Technology in China |
圖書封面 |  |
描述 | .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.. |
出版日期 | Book 2018 |
關鍵詞 | ATSTC; Carbon Burnout; Combustion Optimization; Computational Intelligence; NOx Emission; ZJUP |
版次 | 1 |
doi | https://doi.org/10.1007/978-981-10-7875-0 |
isbn_softcover | 978-981-13-5678-0 |
isbn_ebook | 978-981-10-7875-0Series ISSN 1995-6819 Series E-ISSN 1995-6827 |
issn_series | 1995-6819 |
copyright | Springer Nature Singapore Pte Ltd. and Zhejiang University Press, Hangzhou 2018 |