financially supported by the National Natural Science Foundation of China (Nos. 51374164, 51174153, 51104111 and 51104112);the Self-Determined and Innovative Research Funds of Wuhan University of Technology (No.2014-JL-007);the Specialized Research Fund for the Doctoral Program of Higher Education (No. 20120143110005)
In order to predict the wearing of stellite alloys, the related methods of rare metals data processing were discussed. The method of opposite degree (OD) algorithm was put forward to predict the wearing of stellite ...