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burkhard-lenze documents
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How to make sigma-pi neural networks perform perfectly on regular training sets
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Linking discrete orthogonality with dilation and translation for incomplete sigma-pi neural networks of Hopfield-type
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Complexity preserving increase of the capacity of bidirectional associative memories by dilation and translation
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Mathematics and Neural Networks –A Glance at some Basic Connections
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A General Approach to Dyadic Periodic Interpolation Based on Discrete Sigma-Pi Orthogonality
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Hyperbolic sigma-pi neural network operators for compactly supported continuous functions
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On local and global sigma-pi neural networks a common link
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Note on interpolation on the hypercube by means of sigma–pi neural networks
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On a perceptron-type learning rule for higher order Hopfield neural networks including dilation and translation