Interpolating vectors for robust pattern recognition

DOI10.1016/J.NEUNET.2007.06.003zbMath1151.68603OpenAlexW2134184411WikidataQ51907408 ScholiaQ51907408MaRDI QIDQ2459515

Kunihiko Fukushima

Publication date: 7 November 2007

Published in: Neural Networks (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.neunet.2007.06.003

zbMATH Keywords

Pattern recognitionneocognitroninterpolating vectorlabeled competitive learning

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Pattern recognition, speech recognition (68T10)

Related Items (1)

Training multi-layered neural network neocognitron

Cites Work

• Neocognition: A self-organizing neural network model for a mechanism of pattern recognition unaffected by shift in position
• Nearest neighbor pattern classification

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