Abstract
In this work MagnetoEncephaloGram (MEG) recordings of epileptic patients are modeled using a genetic programming approach. This is the first time that genetic programming is used to model MEG signal. Numerous experiments were conducted giving highly successful results. It is demonstrated that genetic programming can produce very simple nonlinear models that fit with great accuracy the observed data of MEG.
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Georgopoulos, E.F., Adamopoulos, A.V., Likothanassis, S.D. (2009). Genetic Programming Modeling and Complexity Analysis of the Magnetoencephalogram of Epileptic Patients. In: Papadopoulos, G., Wojtkowski, W., Wojtkowski, G., Wrycza, S., Zupancic, J. (eds) Information Systems Development. Springer, Boston, MA. https://doi.org/10.1007/b137171_40
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DOI: https://doi.org/10.1007/b137171_40
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