Regression Tree and Neuro-Fuzzy Approach to System Identification of Laser Lap Welding
Devinder Kaur, Dominic Wilson, Mariana G. Forrest, Feng Lu · 2005
Laser lap welding quality is a nonlinear response based on a host of material and process variables. This is inclusive of both categorical and numeric variables. An adaptive neuro fuzzy inference system in combination with a classification and regression tree is used to characterize this process. This characterization is shown to be more accurate than that achieved by a nonlinear regression model.