Prediction of wear for wood planing tool based on genetic-SVM classifier

摘要

Wear prediction of wood planing tool is very complex, so it is difficult to use the mathematical model to describe their wear. In this study, an intelligent forecasting method based on genetic-support vector machine (GSVM) approach is presented of wood planing tool wear. An new way provides wear prediction of wood planing tool. The test results show that this GSVM model is effective to prediction wear of wood planing tool.