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NITAAI-Veda.nyf > Soul Science God Philosophy > Science and Spiritual Quest > Section 4 Towards a New Biology > MATHEMATICAL TECHNIQUES FOR STUDY OF EEG > 3.1 Two-category problem

3.1 Two-category problem


Classification of data into meditation and pre-meditation states is considered. The obtained accuracies for the back propagation network with 14 hidden units, RBFnetworks with 120 hidden units and support vector machine with RBF kernel are shown in Table l.The highest classification accuracy (99.6%) is obtained for the support vector machine with RBF kernel.