The neocognitron is a hierarchical multi-layered neural network capable of robust visual pattern recognition. It has been demonstrated that recent versions of the neocognitron exhibit excellent performance for recognizing handwritten digits. When characters are written on a noisy background, however, recognition rate was not always satisfactory. This paper proposes several modifications, by which the neocognitrons can be much more robust against background noise. © 2010 Springer-Verlag.
CITATION STYLE
Fukushima, K. (2010). Increased robustness against background noise: Pattern recognition by a neocognitron. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6444 LNCS, pp. 574–581). https://doi.org/10.1007/978-3-642-17534-3_71
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