Combustion Optimization Based on Computational Intelligence

• Main Authors: Zhou, Hao (Author, http://id.loc.gov/vocabulary/relators/aut), Cen, Kefa (http://id.loc.gov/vocabulary/relators/aut)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Singapore : Springer Singapore : Imprint: Springer, 2018.
• Edition: 1st ed. 2018.
• Series: Advanced Topics in Science and Technology in China,
• Subjects: Energy efficiency.; Thermodynamics.; Heat engineering.; Heat transfer.; Mass transfer.; Energy systems.; Chemical engineering.; Computational intelligence.; Energy Efficiency.; Engineering Thermodynamics, Heat and Mass Transfer.; Energy Systems.; Industrial Chemistry/Chemical Engineering.; Computational Intelligence.

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 op...

Table of Contents:

• The influence of combustion parameters on NOx emissions and carbon burnout
• Modeling methods for combustion characteristics
• Neural network modeling of combustion characteristics
• Support vector machine modeling the combustion characteristics
• Combining neural network or support vector machine with optimization algorithms to optimize the combustion
• Online combustion optimization system.