Combustion Optimization Based on Computational Intelligence

Description

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. Front Matter ....Pages i-xxvi Introduction (Hao Zhou, Kefa Cen)....Pages 1-6 The Influence of Combustion Parameters on NOx Emissions and Carbon Burnout (Hao Zhou, Kefa Cen)....Pages 7-19 Modeling Methods for Combustion Characteristics (Hao Zhou, Kefa Cen)....Pages 21-145 Neural Network Modeling of Combustion Characteristics (Hao Zhou, Kefa Cen)....Pages 147-154 Classification of the Combustion Characteristics based on Support Vector Machine Modeling (Hao Zhou, Kefa Cen)....Pages 155-170 Combining Neural Network or Support Vector Machine with Optimization Algorithms to Optimize the Combustion (Hao Zhou, Kefa Cen)....Pages 171-237 Online Combustion Optimization System (Hao Zhou, Kefa Cen)....Pages 239-264 Combustion Optimization Based on Computational Intelligence Applications: Future Prospect (Hao Zhou, Kefa Cen)....Pages 265-267 Back Matter ....Pages 269-270