• TSK - FUZZY CONTROLLED MODELING VIA CLASSICAL MATHEMATICAL EEG SIGNALS MODELING

Abstract

In this paper, we have proposed a prototype optimistic TSK Fuzzy Logic Control (FLC)model to be used for developing classical mathematical model of EEG Signals based on the Hodgkin-Huxley model so as a TSK - FLC model will generate. We have designed this model using the same inputs (I/Ps) and its values (sensor readings) as that of used in classical mathematical model of EEG signals and achieved a desired output (O/P) result. Comparing the proposed approach with the Hodgkin-Huxley classical mathematical model of EEG signals, it is observed that the developed TSK fuzzy model exhibits better results with higher accuracy and smaller size of architecture. Further it is to be noted that the efforts required to work out the fuzzy model are more feasible than that of the classical mathematical model of EEG signals.