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A Patient Specific Neural Networks (MLP) for Optimization of Fuzzy Outputs in Classification of Epilepsy Risk Levels from EEG Signals
In recent years Neural Networks have been widely used as pattern and statistical classifiers in bio medical engineering. Most research to date using hybrid systems (Fuzzy-Neuro) focused on the Multi-Layer Perceptron (MLP). Here we focus on MLP network as an optimizer for classification of epilepsy risk levels obtained from the fuzzy techniques using the EEG signal parameters. The obtained risk level patterns from fuzzy techniques are found to have low values of Performance Index (PI) anddblp:journals/engl/SukaneshH06 fatcat:mlr4rae7ufc47ehfs2tuxfkyae