Model Study on the Principal Dimensions of the Revolving Floating Crane Based on SVM

摘要：

During the design of the revolving floating crane, mathematical model for the principal dimensions is not available at present In the paper, on the basis of collecting and classifying the cranes principal dimensions, the mathematical model for the principal dimensions of the revolving floating crane is developed using the SVM, in which the relationship between the lifting capacity and main dimensions has been established respectively. The model is helpful for mastering the essential variation rules on the cranes principal dimensions and can be used for technical and economic demonstration during its design. Practical result shows that the method of SVM possesses better regression ability than BP neural networks, which provides a new method to forecast the cranes principal dimensions.

关键词： revolving floating crane principal dimensions Support Vector Machine (SVM) BP neural network

作者: Chaoguang Jin Yanyun Yu Yunlong Wang Yan Lin

作者单位: State Key Laboratory of Structural Analysis for Industrial Equipment, Dalian University of Technology Dalian, Liaoning Province, P.R.China S School of Naval Architecture Engineering, Dalian University of Technology Dalian, Liaoning Province, P.R.China

会议类型: 国际会议

会议名称: The 2010 International Conference on Computer Application and System Modeling(2010计算机应用与系统建模国际会议 ICCASM 2010)

会议地点: 太原

会议语种:英文

页码: 205-208

在线出版日期: 2010-10-22（万方平台首次上网日期，不代表论文的发表时间）