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Soft-measuring approach to on-line predict BOD based on PCA time-delay neural network

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3 Author(s)
Weili Ran ; Sch. of Electron. & Control Eng., Beijing Univ. of Technol., China ; Junfei Qiao ; Xudong Ye

In monitoring and controlling wastewater treatment processes, on-line information of some essential wastewater parameters is inaccessible. In order to acquire the real time data and contribute to real time closed loop control, a soft-measuring approach applied in wastewater quality measurement is put forward based on PCA time-delay neural network. It is composed of three elements: principal components analysis, time-delay neural network and model updating, where the offline model is trained through the algorithm GABP. This model, which is of good real-time property, good stability, high precision and easy updating, can be applied to on-line predict wastewater BOD.

Published in:

Intelligent Control and Automation, 2004. WCICA 2004. Fifth World Congress on  (Volume:4 )

Date of Conference:

15-19 June 2004