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THEORETICAL ANALYSIS OF COORDINATES MEASUREMENT BY FLEXIBLE 3D MEASURING SYSTEM
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作者 ZHANG Guoyu SUN Tianxiang WANG Lingyun XU Xiping 《Chinese Journal of Mechanical Engineering》 SCIE EI CAS CSCD 2007年第2期101-103,共3页
The system mathematical model of flexible 3D measuring system is built by theoretical analysis, and the theoretical formula for measuring space point coordinate is also derived. Frog-jumping based coordinate transform... The system mathematical model of flexible 3D measuring system is built by theoretical analysis, and the theoretical formula for measuring space point coordinate is also derived. Frog-jumping based coordinate transform method is put forward in order to solve measuring problem for large size parts. The frog-jumping method is discussed, and the coordinate transform mathematical model is method of the space point coordinate compared to original value, and an advanced method is provided, Form the space point coordinate transform formula can derive the calculation measuring method for measuring large size parts. 展开更多
关键词 Flexible 3D measuring system Coordinate conversion Frog-jumping sphere
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Confidence support vector domain description 被引量:2
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作者 Liu Sanyang Liang Jinjin +1 位作者 Wu De Duan Wei 《Journal of Systems Engineering and Electronics》 SCIE EI CSCD 2009年第4期852-857,共6页
To accelerate the training of support vector domain description (SVDD), confidence support vector domain description (CSVDD) is proposed based on the observation that the description boundary is determined by a sm... To accelerate the training of support vector domain description (SVDD), confidence support vector domain description (CSVDD) is proposed based on the observation that the description boundary is determined by a small subset of training data called support vectors. Namely, the number of training samples in the userdefined sphere is calculated and taken as the confidence measure, according to which the training samples are ranked in ascending order. Those former ranked ones are selected as the boundary targets for the SVDD training. Simulations on UCI data demonstrate the effectiveness and superiority of CSVDD: the number of training targets and the training time are reduced without any loss of accuracy. 展开更多
关键词 support vector domain description confidence support vector domain description user-defined sphere confidence measure boundary targets.
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