基于ls-svm 的铜铬合金挤压加工挤压力预测 - 中国有色金属学报.pdfVIP

18 9 2008 9 Vol.18 No.9 The Chinese Journal of Nonferrous Metals Sep. 2008 1004-0609(2008)09-1706-05 LS-SVM ( 430074) Cu-0.75Cr 3 Cu-0.75Cr 3% Cu-0.75Cr TG 146.11 A Prediction model for extrusion force of Cu-0.75Cr alloy based on least square support vector machine SHU Fu-hua (School of Mechanical and Electronic Engineering, Wuhan University of Technology, Wuhan 430074, China) Abstract: A novel prediction model for extrusion force of Cu-0.75Cr alloy reverse extrusion process based on least square support vector machine(LS-SVM) was proposed. With fault plane contraction rate, convex model awl angle and extrusion temperature as influence factors, and with extrusion force as influence object, the complex nonliner relations among the influence factors and influence object were fitted by LS-SVM model. Orthogonal experiment was taken to obtain data samples, and LS-SVM model was established through the data samples, so that the extrusion forces of Cu-0.75Cr alloy under different backward extrusion process conditions can be predicted by this model. The results show that not only the prediction accuracy and treatment speed by this model are much higher than those of artificial neural networks(ANN), but also the construction speed is higher than that of standard SVM, and the practical prediction errors are less than 3.0%. Key words: Cu-0.75Cr alloy; backward extrusion process; extrusion force; prediction; least square support vector machine