This paper is to represent new algorithms to predict process parameters on top-bead width in robotic gas metal arc(GMA) welding process.The models have been developed:linear, curvilinear and intelligent model based on full factorial design with two replications.Regression analysis was employed for optimization of the coefficients of linear and curvilinear models, while genetic algorithm(GA) was utilized to estimate the coefficients of an intelligent model.Not only the fitting of these models were checked an...