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A novel Hybrid Clustering Algorithm (HCA) that incorporates the K-means into the canonical Immune Programming Algorithm (IPA) is proposed after analyzing the advantages and disadvantages of the classical k-means clustering algorithm in the paper. The theory analysis and experimental results show the algorithm not only avoids the local optima and is robust to initialization, but also increases the...
The precision of machine vision calibration is affected by those factors such as the loss of depth information, distortion of camera lens, and errors caused by image processing. In this paper machine vision system is developed by means of BP neural network with self- learning. There are 4 inputs, which are the image coordinates of a match point in left and right camera, and 3 outputs in the network...
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