Predicting Mechanical Properties of Galvanized Steels: Data Mining Approach

Abstract

— The purpose of this paper is to predict the mechanical properties of galvanized steel, using appropriate data mining techniques such as neural network, support vector machine, regression analysis and regression tree methods. It is found that by using the neural network technique one can get the best result for predicting the mechanical properties of galvanized steel according to the values of input parameters and also considering the effects of annealing temperature and line speed as the controlling parameters. Keywords— knowledge discovery, data mining, steel industry, prediction, galvanized line, neural network