Guoqiang Mu

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In order to reduce the relativity among prototype pattern vectors and to enhance the separability among different patterns, a novel kernel-based learning algorithm of Synergetic Neural Network (SNN) is proposed. The algorithm first maps the data from original space into a new feature space and then classifies them by a two-layered SNN. An optimization(More)
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