Combustion Optimization Based on Computational Intelligence
Nonfiction, Science & Nature, Science, Physics, Thermodynamics, Technology, Power Resources
| Author: | Hao Zhou, Kefa Cen | ISBN: | 9789811078750 |
| Publisher: | Springer Singapore | Publication: | February 2, 2018 |
| Imprint: | Springer | Language: | English |
| Author: | Hao Zhou, Kefa Cen |
| ISBN: | 9789811078750 |
| Publisher: | Springer Singapore |
| Publication: | February 2, 2018 |
| Imprint: | Springer |
| Language: | English |
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.
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.
