Recent advances in the neocognitron

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 4984 LNCS, Issue PART 1, 2008, Pages 1041-1050

  Fukushima, Kunihiko ^a  

^a KANSAI UNIVERSITY   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

FEATURE EXTRACTION; NETWORK PROTOCOLS; PATTERN RECOGNITION; SENSOR NETWORKS;

HIERARCHICAL; MULTILAYERED NEURAL NETWORKS; NEOCOGNITRON; VISUAL PATTERN RECOGNITIONS;

NEURAL NETWORKS;

EID: 54249166252     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-69158-7_107     Document Type: Conference Paper

References (8)

1. Fukushima, K.: Neocognitron: a hierarchical neural network capable of visual pattern recognition. Neural Networks 1, 119-130 (1988)
2. Fukushima, K.: Neocognitron for handwritten digit recognition. Neurocomputing 51, 161-180 (2003); A computer program of this neocognitron in C language is available from Visiome Platform: http://platform.visiom.nuoinf.jp/
3. Fukushima, K.: Analysis of the process of visual pattern recognition by the neocognitron. Neural Networks 2, 413-420 (1989)
4. Fukushima, K.: Interpolating vectors for robust pattern recognition. Neural Networks 20, 904-916 (2007)
5. Fukushima, K.: Neocognitron capable of incremental learning. Neural Networks 17, 37-46 (2004)
6. Fukushima, K.: Neural network model for selective attention in visual pattern recognition and associative recall. Applied Optics 26, 4985-4992 (1987)
7. Fukushima, K.: Restoring partly occluded patterns: a neural network model. Neural Networks 18, 33-43 (2005)
8. Fukushima, K.: Recognition of partly occluded patterns: a neural network model. Biological Cybernetics 84, 251-259 (2001)