Similarities of LVQ and RBF learning-a survey of learning rules and the application to the classification of signals from high-resolution electrocardiography

In this paper algorithms for neural network training are described. We discuss the apparent similarities of LVQ and RBF classification which motivate us to combine the two approaches. The resulting algorithm is then tested on features extracted from signals from high-resolution electrocardiography.<
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