| 书目名称 | Combustion Optimization Based on Computational Intelligence |
| 编辑 | Hao Zhou,Kefa Cen |
| 视频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 |
| 丛书名称 | Advanced Topics in Science and Technology in China |
| 图书封面 |  |
| 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 |
| 关键词 | 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 |
|Archiver|手机版|小黑屋|
派博传思国际
( 京公网安备110108008328)
GMT+8, 2025-8-15 00:30
发表于 2025-3-21 16:05:03
