The Soft Measure Method Based on RBF Neural Network for Municipal Wastewater Treatment

摘要

A soft measure method for waste water treatment based on RBF neural network was introduced in this paper. Building up the model method of the RBF neural network in wastewater treatment process was studied firstly. Then, the influence suffused ability to the network of the center of the radial basic function and the gathered number was researched. Finally, it is an example that activated sludge in municipal wastewater treatment plant carries on the verification to the model setting up, The RBF neural network was trained and simulated by a lot of observed data 。The result showed that the RBF neural network may be used to fulfill soft sensing, and it has good suffusing ability. So it creates condition for real-time control of sewage disposal process.