Artificial Intelligence Based Modelling of Adsorption Water Desalination System

The main target of this research work is to model the output performance adsorption water desalination system (AWDS) in terms switching and cycle time using artificial intelligence. ADC expressed by specific daily production (SDWP), coefficient (COP), cooling power (SCP). A robust Adaptive Network-based Fuzzy Inference System (ANFIS) SDWP, COP, SCP was built measured data. To demonstrate superiority suggested ANFIS model, results were compared with those achieved Analysis Variance (ANOVA) based on maximum determination minimum error between estimated data addition mean square (MSE). Applying ANOVA, average coefficient-of-determination values 0.8872 0.8223, respectively, for training testing. These are increased 1.0 0.9673, testing thanks modeling. In addition, modelling decreased RMSE value all datasets 83% ANOVA. sum, findings confirmed modeling