Rotation-invariant pattern recognition: A procedure slightly inspired on olfactory system and based on Kohonen network
Tipo
Artigo de evento
Data de publicação
2006
Periódico
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
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0
Autores
Palermo M.B.
Monteiro L.H.A.
Monteiro L.H.A.
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Resumo
A computational scheme for rotation-invariant pattern recognition based on Kohonen neural network is developed. This scheme is slightly inspired on the vertebrate olfactory system, and its goal is to recognize spatiotemporal patterns produced in a two-dimensional cellular automaton that would represent the olfactory bulb activity when submitted to odor stimuli. The recognition occurs through a multi-layer Kohonen network that would represent the olfactory cortex. The recognition is invariant to rotations of the patterns, even when a noise lower than 1% is added. © Springer-Verlag Berlin Heidelberg 2006.
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Assuntos Scopus
Cellular automaton , Kohonen network , Odor stimuli , Olfactory system