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cs.AI2005★ 1 cited
Neural-Network Techniques for Visual Mining Clinical Electroencephalograms
Vitaly Schetinin, Joachim Schult, Anatoly Brazhnikov
In this chapter we describe new neural-network techniques developed for visual mining clinical electroencephalograms (EEGs), the weak electrical potentials invoked by brain activit…
cs.AI2005
Learning Polynomial Networks for Classification of Clinical Electroencephalograms
Vitaly Schetinin, Joachim Schult
We describe a polynomial network technique developed for learning to classify clinical electroencephalograms (EEGs) presented by noisy features. Using an evolutionary strategy impl…