| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 721282 | IFAC Proceedings Volumes | 2009 | 6 Pages |
Abstract
Neural network models are widely used for process optimization. This paper introduces process analysis capability of neural networks. A process analysis tool DNAneuroSense is introduced. The neural network modeling is applied in case of fluidized bed boilers performance improvement study. The model is utilized in the analysis of factors affecting the SO2 emission reduction reaction in order to reduce the lime stone usage.
Related Topics
Physical Sciences and Engineering
Engineering
Computational Mechanics
Authors
Tero Joronen, Jukka Pennanen,