Combustion Optimization Based on Computational Intelligence - Hao Zhou,Kefa Cen
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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 optimiza ... Pilns apraksts
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Aprašymas
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.
Vairāk informācijas
| Autors | Hao Zhou, Kefa Cen |
|---|---|
| Izdevējs | Springer Nature Singapore |
| Series | Advanced Topics in Science and Technology in China |
| Izlaides gads | 2018 |
| Vāka tips | Mīkstais vāks |
| EAN | 9789811356780 |