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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 > 3.2 Three-category problem

3.2 Three-category problem


Classification of data into meditation, pre-meditation and post-meditation states are considered. The obtained accuracies for the back propagation network with 17 hidden units, RBF networks with 125 hidden units and support vector machine with RBF kernel are shown in table2. The highest classification accuracy (99.6%) is obtained for the support vector machine with RBF kernel.