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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… Expand
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Papers overview

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Highly Cited
2003
Highly Cited
2003
The author previously proposeda neural network mod el neocognitron for robust visual pattern recognition. This paper proposes an… Expand
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1998
1998
Neural networks have been used to recognize handwritten characters such as Chinese, English or numerals. But their performance, i… Expand
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1992
1992
The use of a neocognitron in an automatic target recognition (ATR) system is described. An image is acquired, edge detected… Expand
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1990
1990
A neural network model of visual pattern recognition, called the “neocognitron”, was previously proposed by the author. It is… Expand
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1990
1990
Abstract We investigate the ability of the neocognitron to perform shift-invariant pattern recognition. Both an intuitive… Expand
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Highly Cited
1989
Highly Cited
1989
Abstract A neural network model of visual pattern recognition called the “neocognitron,” was earlier proposed by the author. It… Expand
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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 this… Expand
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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… Expand
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Highly Cited
1982
Highly Cited
1982
Abstract Suggested by the structure of the visual nervous system, a new algorithm is proposed for pattern recognition. This… Expand
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Highly Cited
1982
Highly Cited
1982
A neural network model, called a “neocognitron”, is proposed for a mechanism of visual pattern recognition. It is demonstrated by… Expand
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