Cascade Process Modeling with Mechanism-Based Hierarchical Neural Networks
نویسندگان
چکیده
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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ورودعنوان ژورنال:
- International journal of neural systems
دوره 20 1 شماره
صفحات -
تاریخ انتشار 2010