Research on the Spatial Error Distribution Model of Flexible Coordinate Measuring Machines Based on Support Vector Regression

Abstract:

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One of the main reasons on Flexible Coordinate Measuring Machines’ (FCMM) less application is that its accuracy can’t meet the practical requirements. The spatial error distribution model of FCMM is build using Support Vector Regression (SVR) method. The test shows the data from the model can effectively fit the samples, and arguably the model based on SVR is feasible. The novel method gives an idea of studying the spatial error distribution model of FCMM. Futhermore, the model can provide reasearch foundations for definiting optimal measurement area and thus help to improve the measurement accuracy in the next work.

Info:

Periodical:

Advanced Materials Research (Volumes 201-203)

Edited by:

Daoguo Yang, Tianlong Gu, Huaiying Zhou, Jianmin Zeng and Zhengyi Jiang

Pages:

2058-2062

DOI:

10.4028/www.scientific.net/AMR.201-203.2058

Citation:

D. T. Zheng et al., "Research on the Spatial Error Distribution Model of Flexible Coordinate Measuring Machines Based on Support Vector Regression", Advanced Materials Research, Vols. 201-203, pp. 2058-2062, 2011

Online since:

February 2011

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Price:

$35.00

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