Unsupervised global optimization: applications on classification of handwritten digits and visual evoked potentials

The authors discuss the optical recognition of handwritten unconnected numerals and visual evoked potential (VEP) classification using two neural network learning paradigms. The first is an unsupervised approach, trained by the combinatorial optimization routine ALOPEX, while the second method uses...

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Vydané v:	IEEE International Conference on Systems, Man and Cybernetics, 1992 s. 381 - 386 vol.1
Hlavní autori:	Micheli-Tzanakou, E., Dasey, T.J.
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 1992
Predmet:	Artificial neural networks Backpropagation algorithms Biomedical engineering Character recognition Feature extraction Medical diagnostic imaging Multiple sclerosis Neural networks Pattern recognition System testing
ISBN:	0780307208, 9780780307209
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