Neuronal Network Identification of a Wastewater Treatment Prototype
Résumé
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.