TY  - JOUR
T1  - Identification and Prediction of Wastewater Treatment Parameters
AU - , S. Boulahbel AU - , L. Saad Saoud AU - , A. Khellaf 
JO  - Journal of Engineering and Applied Sciences
VL  - 3
IS  - 1
SP  - 38
EP  - 46
PY  - 2008
DA  - 2001/08/19
SN  - 1816-949x
DO  - jeasci.2008.38.46
UR  - https://makhillpublications.co/view-article.php?doi=jeasci.2008.38.46
KW  - Wastewater
KW  -identification
KW  -prediction EKF
KW  -neural networks
AB  - In this study, neural networks are extensively used to identify and predict wastewater process parameters. Three methods are implemented to drive the system’s operation. In the first one difference neural networks inputs are ignored but considered in the second, an extended Kalman filter implements the third one. High performance is derived from our approach which considers input difference effects and therefore, fits better to overcome the complex wastewater problem.
ER  -