Titlebook: Claudio Moraga: A Passion for Multi-Valued Logic and Soft Computing; Rudolf Seising,Héctor Allende-Cid Book 2017 Springer International Pu

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Theodore R. Kantner,Ralph O. Mummawas designed and its derivative-free learning algorithm based on the error-correction learning rule was presented. Different applications of MLMVN, which outperforms many other machine learning tools in terms of learning speed and generalization capability are also observed.

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,The Reed-Muller-Fourier Transform—Computing Methods and Factorizations, algorithms. corresponding to Cooley-Tukey and constant geometry algorithms for Fast Fourier transform. We also consider algorithms based on various decompositions borrowed from the decomposition of the Pascal matrix and related computing algorithms.

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Multiple-Valued Logic and Complex-Valued Neural Networks,was designed and its derivative-free learning algorithm based on the error-correction learning rule was presented. Different applications of MLMVN, which outperforms many other machine learning tools in terms of learning speed and generalization capability are also observed.

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Residue Reviews / Rückstands-Berichteulti modal or heavy tailed) noise on training samples. Finally, we have used statistics, recursively updated during sequential Bayesian estimation, to derive criteria for growing and pruning of synaptic connections and hidden neurons in recurrent neural networks.

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Residue Reviews/Rückstandsberichteother properties needed in cryptosystems by Jon T. Buttler and Tsutomu Sasao, the extension of such properties by Chunhui Wu and Bernd Steinbach, to the generalization to multi-valued bent function by Claudio Moraga et al.

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