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The 2006 IEEE International Joint Conference on Neural Network Proceedings
The work presents the first results of the authors research on adaptive Cellular Neural Networks (CNN) based on a global information theoretic cost-function. It considers the simplest case of optimizing a resistive grid such that the Shannon information rate across the input-output boundaries of the grid is maximized. Besides its importance in information theory, information rate has been proven to be a useful concept for principal as well independent component analysis (PCA, ICA). In contrastdoi:10.1109/ijcnn.2006.1716823 fatcat:ntcwwvh7pvgcvnj34zev24uut4