Neocognitron

Known as: Fukushima Kunihiko, Kunihiko Fukushima 
The neocognitron is a hierarchical, multilayered artificial neural network proposed by Kunihiko Fukushima in the 1980s. It has been used for… (More)
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Topic mentions per year

Topic mentions per year

1965-2016
051019652016

Papers overview

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2013
2013
This paper proposes new learning rules suited for training multi-layered neural networks and applies them to the neocognitron… (More)
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2010
2010
Based on our observations of the working principles of the archetypal hierarchical neural network, Neocognitron, we propose a… (More)
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2010
2010
The neocognitron, which was proposed by Fukushima (1980), is a hierarchical multi-layered neural network capable of robust visual… (More)
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Highly Cited
2003
Highly Cited
2003
The author previously proposed a neural network model neocognitron for robust visual pattern recognition. This paper proposes an… (More)
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1997
1997
We describe a sequence of experiments investigating the strengths and limitations of Fukushima's neocognitron as a handwritten… (More)
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1997
1997
A rotation-invariant neocognitron is constructed by extending the neocognitron which can recognize translated, scaled and/or… (More)
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Highly Cited
1991
Highly Cited
1991
A pattern recognition system which works with the mechanism of the neocognitron, a neural network model for deformation-invariant… (More)
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Highly Cited
1988
Highly Cited
1988
-A neural network model for visual pattern recognition, called the "neocognitron, "' was previously proposed by the author In… (More)
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Highly Cited
1983
Highly Cited
1983
A recognition with a large-scale network is simulated on a PDP-11/34 minicomputer and is shown to have a great capability for… (More)
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Highly Cited
1982
Highly Cited
1982
-Suggested by the structure of the visual nervous system, a new algorithm is proposed for pattern recognlt~on This algorithm can… (More)
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