期刊
INTERNATIONAL JOURNAL OF NEURAL SYSTEMS
卷 20, 期 1, 页码 1-11出版社
WORLD SCIENTIFIC PUBL CO PTE LTD
DOI: 10.1142/S012906571000219X
关键词
Modeling; cascade process; hierarchical neural networks; wastewater treatment process
资金
- National Basic Research Program of China [2009CB320601]
- State Key Program of National Natural Science of China [60534010]
- Programme of Introducing Talents of Discipline to Universities [B08015]
- Funds for Creative Research Groups of China [60521003]
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.
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