The Design of Image Compression with BP Neural Network Based on the Dynamic Adjusting Hidden Layer Nodes
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Aiming at the image compression algorithms with the used BP neural network ,they have inherent defects of poor universality and long training time, a model of the dynamic adjusting hidden layer nodes of BP neural network is designed. According to the training image, using the correlation coefficient and dispersion degree of the same hidden layer’s nodes, we cut and delete some no nodes, this algorithm not only can improve learning speed effectively but also has certain generalization ability, and can complete the task of no- training images compression through experiments.
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