Title :
Notice of Retraction
Model study on the principal dimensions of the revolving floating crane based on SVM
Author :
Chaoguang Jin ; Yanyun Yu ; Yunlong Wang ; Yan Lin
Author_Institution :
State Key Lab. of Struct. Anal. for Ind. Equip., Dalian Univ. of Technol., Dalian, China
Abstract :
Notice of Retraction
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
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 crane´s 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 crane´s 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 network´s, which provides a new method to forecast the crane´s principal dimensions.
Keywords :
backpropagation; civil engineering computing; cranes; lifting; neural nets; support vector machines; BP neural network; SVM; crane principal dimensions; economic demonstration; lifting capacity; mathematical model; model study; revolving floating crane; technical demonstration; Artificial neural networks; Biological system modeling; Cranes; Kernel; Marine vehicles; Mathematical model; Support vector machines; BP neural network; Support Vector Machine (SVM); principal dimensions; revolving floating crane;
Conference_Titel :
Computer Application and System Modeling (ICCASM), 2010 International Conference on
Conference_Location :
Taiyuan
Print_ISBN :
978-1-4244-7235-2
DOI :
10.1109/ICCASM.2010.5622723