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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Veröffentlicht in:	IEEE International Conference on Systems, Man and Cybernetics, 1992 S. 381 - 386 vol.1
Hauptverfasser:	Micheli-Tzanakou, E., Dasey, T.J.
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 1992
Schlagworte:	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
Online-Zugang:	Volltext
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