Neocognitron: A Neural Network Model for a Mechanism of Visual Pattern Recognition

IEEE Transactions on Systems, Man and Cybernetics

Volumn SMC-13, Issue 5, 1983, Pages 826-834

  Fukushima, Kunihiko ^a   Miyake, Sei ^a   Ito, Takayuki ^a  

^a NHK SCIENCE AND TECHNICAL RESEARCH LABORATORIES   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

CENTRAL NERVOUS SYSTEM; HUMAN; NERVE CELL NETWORK; NERVOUS SYSTEM; NONBIOLOGICAL MODEL; NONHUMAN; PATTERN RECOGNITION; RECEPTIVE FIELD; VISION; VISUAL SYSTEM;

BIOMEDICAL ENGINEERING; VISION;

PATTERN RECOGNITION;

EID: 0020970740     PISSN: 00189472     EISSN: 21682909     Source Type: Journal    
DOI: 10.1109/TSMC.1983.6313076     Document Type: Article

References (10)

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6. K. Fukushima, “Cognitron: A self-organizing multilayered neural network model,” NHK Tech. Monograph, no. 30, Jan. 1981.
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8. K. Fukushima and S. Miyake, “Neocognitron: A new algorithm for pattern recognition tolerant of deformations and shifts in position,” Pattern Recognition, vol. 15, pp. 455-469, 1982.
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10. D. H. Hubel and T. N. Wiesel, “Receptive fields and functional architecture in two nonstriate visual area (18 and 19) of the cat,” J. Neurophysiol., vol. 28, pp. 229-289, 1965.