An integrated support vector regression–imperialist competitive algorithm for reliability estimation of a shearing machine

Abstract

This study develops a support vector regression (SVR) model integrated with an imperialist competitive algorithm for reliability estimation. The model is validated using benchmark data and applied to a shearing machine case study. Results demonstrate improved estimation accuracy.