SIMULATION OF OZONATION PROCESS FOR TREATMENT OF INDUSTRIAL EFFLUENTS USING ARTIFICIAL NEURAL NETWORKS AND REGRESSION ANALYSIS

摘要

Artificial Neural networks have been used to solve non-linear problems and provide a simple way to solve complicated problems without using the modeling process. The present study utilised comparison of artificial neural network model with multiple regression analysis. This paper demonstrates the applicability and advantages of artificial neural network for ozonation process of treatment of effluents from electroplating industries. Data is analysed using artificial neural network (ANN) technique andmultiple regression methods, and performance assessment of the two are made.