Study on Automatic Transmission Method of Construction Vehicle Based on Support Vector Machine
Support Vector Machines (SVM) based on structural risk minimization principle demonstrates the better learning ability for decision-making. Since the normal SVM is deduced from two classifications, it faced difficulty in solving the multiclass classifications like the shift decision of the engineering vehicle. Here we present shift decision algorithm which is based on SVM-binary tree multiclass classification. It distributes classifier to every node for constructing the multi-class SVM. Experiments show that the method can optimize the gear shift position according to operation states, consequently, meet the needs of the automatic shift transmission accurately and on time. It is an effective way to realize the intelligence shift decision for engineering vehicle.
Support vector machine Multi-class classifycation Binary tree Engineering vehicle Automatic shift shift decision
Han Shunjie
College of Electric and Electronic Engineering, Changchun University of Technology,Changchun 130012, P. R. China
国际会议
长春
英文
163-166
2009-08-21（万方平台首次上网日期，不代表论文的发表时间）