Zhou H., Cen K. Combustion Optimization Based on Computational Intelligence

Singapore: Springer, 2018. — 291 p.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.The Influence of Combustion Parameters on NOx Emissions and Carbon Burnout
Modeling Methods for Combustion Characteristics
Neural Network Modeling of Combustion Characteristics
Classification of the Combustion Characteristics based on Support Vector Machine Modeling
Combining Neural Network or Support Vector Machine with Optimization Algorithms to Optimize the Combustion
Online Combustion Optimization System
Combustion Optimization Based on Computational Intelligence Applications: Future Prospect