Multi-measuring-point planeness evaluation method based on support vector classification
A technology of support vector classification and support vector machine, which is applied in the direction of measuring devices and instruments, can solve the problems of complex calculation, falling into local optimum, and difficult to guarantee the accuracy of evaluation, so as to improve calculation efficiency, improve accuracy and reduce calculation The effect of data volume
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[0016] In order to make the objectives, technical solutions and advantages of the present invention clearer, the following will further describe the embodiments of the present invention in detail with reference to the accompanying drawings:
[0017] See figure 1 , Is a flowchart of a method for multi-point flatness evaluation based on support vector classification, the method includes the following steps:
[0018] Step 10: Sample the points on the measured surface to obtain the three-dimensional coordinates of all the measured points.
[0019] Step 20: Calculate the least squares plane corresponding to the measurement point set, and use the least squares plane as a reference to eliminate the measurement points with the smaller absolute value of the residual error.
[0020] In step 30, the measurement points with large absolute values are moved equally along the normal positive and negative directions of the least squares plane to form a linearly separable set of positive and negative...
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