This paper presents neuronal network identification of a wastewater treatment prototype. This identification is based on a discrete-time high order neuronal network (RHONN). The neuronal network is trained with an extended Kalman filter (EFK) algorithm. The neuronal identification performance is illustrated via simulations.
['Rocío Carrasco Carrasco', 'Edgar N. Sanchez', 'Catherine Cadet']
Neuronal network identification of a wastewater treatment prototype