Neocognitron

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The neocognitron is a hierarchical multilayered neural network proposed by Professor Kunihiko Fukushima. It has been used for handwritten character recognition and other pattern recognition tasks.

[edit] References

• K. Fukushima. Neocognitron: A self-organizing neural network model for a mechanism of pattern recognition unaffected by shift in position. Biological Cybernetics, 36(4): 93-202, 1980.
• K. Fukushima, S. Miyake, and T. Ito. Neocognitron: a neural network model for a mechanism of visual pattern recognition. IEEE Transactions on Systems, Man, and Cybernetics, Vol. SMC-13(Nb. 3):pp.826--834, September/October 1983.
• Neocognitron application (C#) and video about this simulator: here

[edit] See also

• Artificial neural network
• Pattern recognition

[edit] External links

• Neocognitron on Scholarpedia

 This artificial intelligence-related article is a stub. You can help Wikipedia by expanding it.

Categories: Neural networks | Artificial intelligence stubs

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