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CASCADE PROCESS MODELING WITH MECHANISM-BASED HIERARCHICAL NEURAL NETWORKS.
- Source :
-
International Journal of Neural Systems . Feb2010, Vol. 20 Issue 1, p1-11. 11p. 6 Diagrams, 2 Charts, 2 Graphs. - Publication Year :
- 2010
-
Abstract
- Cascade process, such as wastewater treatment plant, includes many nonlinear sub-systems and many variables. When the number of sub-systems is big, the input-output relation in the first block and the last block cannot represent the whole process. In this paper we use two techniques to overcome the above problem. Firstly we propose a new neural model: hierarchical neural networks to identify the cascade process; then we use serial structural mechanism model based on the physical equations to connect with neural model. A stable learning algorithm and theoretical analysis are given. Finally, this method is used to model a wastewater treatment plant. Real operational data of wastewater treatment plant is applied to illustrate the modeling approach. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 01290657
- Volume :
- 20
- Issue :
- 1
- Database :
- Academic Search Index
- Journal :
- International Journal of Neural Systems
- Publication Type :
- Academic Journal
- Accession number :
- 48283060
- Full Text :
- https://doi.org/10.1142/S012906571000219X