Academic
Publications
Neural Network-Based Intelligent Integrated Modeling for the CFB-FGD Process

Neural Network-Based Intelligent Integrated Modeling for the CFB-FGD Process,10.1109/WCICA.2006.1713271,Li Hongru,Fan Liting,Wang Fuli

Neural Network-Based Intelligent Integrated Modeling for the CFB-FGD Process  
BibTex | RIS | RefWorks Download
The integration modeling method based on input weighted feed-forward neural network was proposed under the intelligent integrated modeling theory. According to the mechanism model of circulated fluidized bed for flue gas desulfurization(CFB-FGD), the influencing factor of sulfur dioxide removal was confirmed. Furthermore, depending on the effect of influencing factor, weighting coefficients of each factor were got and the intelligent integrated model based on neural network was set up. The simulation results indicate that the integrated model can simulate and predict the desulfurization efficiency perfectly, and is better than the mechanism model
Published in 2006.
Cumulative Annual
View Publication
The following links allow you to view full publications. These links are maintained by other sources not affiliated with Microsoft Academic Search.