Data compression for image recognition using neural network

The authors present some preliminary results on the performance of image compression and decompression using a counterpropagation neural network. The counterpropagation network is a combination of two kinds of algorithms, i.e., Kohonen's self-organizing map and Grossberg's outstar. The training methods, compression procedures, and recovering procedures are discussed. Examples are presented to demonstrate the network training and image transmission.<
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