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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… 
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Related topics

Related topics

12 relations
Artificial intelligenceArtificial neural networkCognitive architectureConvolutional neural network

Papers overview

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2018
2018
End-to-End Learning via a Convolutional Neural Network for Cancer Cell Line Classification
Purpose Computer vision for automated analysis of cells and tissues usually include extracting features from images before… 
2016
2016
Estimation of the total amount of released radiocaesium by multiple methods which is originated from the TEPCO Fukushima Daiichi nuclear power plant accident
1999
1999
Recognition of Rotated Patterns Using Neocognitron
A rotation-invariant neocognitron is constructed by extending the neocognitron which can recognize translated, scaled and/or… 
1995
1995
A connectionist system for learning and recognition of structures: Application to handwritten characters
1994
1994
Off-line Cursive Handwriting Recognition using Recurrent Neural Networks
  • 1994
  • Corpus ID: 261433250
1992
1992
Automatic Target Recognition Using a Neocognitron
The use of a neocognitron in an automatic target recognition (ATR) system is described. An image is acquired, edge detected… 
1992
1992
Character recognition with neural networks
1992
1992
Comparative Study of Neural Networks and Non Parametric Statistical Methods for Off-Line Handwritten Character Recognition
1990
1990
Hybrid and complex networks
1988
1988
Classification of patterns using a self-organizing neural network
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