A convolutional recursive modified Self Organizing Map for handwritten digits recognition
- Author
- MOHEBI, Ehsan1 ; BAGIROV, Adil1
[1] Faculty of Science and Technology, Federation University Australia, Victoria, 3353, Australia - Source
Neural networks. 2014, Vol 60, pp 104-118, 15 p ; ref : 3/4 p
- ISSN
- 0893-6080
- Scientific domain
- Cognition; Electronics; Computer science; Neurology
- Publisher
- Elsevier, Kidlington
- Publication country
- United Kingdom
- Document type
- Article
- Language
- English
- Author keyword
- Convolutional neural network Recursive neural network SOM initialization SOM topology Self Organizing Maps Vector quantization
- Keyword (fr)
- Algorithme Kohonen Analyse amas Autoorganisation Caractère manuscrit Classification Convolution Initialisation Méthode récursive Quantification vectorielle Reconnaissance caractère Reconnaissance forme Reconnaissance optique caractère Réseau neuronal Topologie
- Keyword (en)
- Kohonen algorithm Cluster analysis Self organization Manuscript character Classification Convolution Initialization Recursive method Vector quantization Character recognition Pattern recognition Optical character recognition Neural network Topology
- Keyword (es)
- Algoritmo Kohonen Analisis cluster Autoorganización Carácter manuscrito Clasificación Convolución Inicialización Método recursivo Cuantificación vectorial Reconocimiento carácter Reconocimiento patrón Reconocimento óptico de caracteres Red neuronal Topología
- Classification
- Pascal
- 001 Exact sciences and technology / 001D Applied sciences / 001D02 Computer science; control theory; systems / 001D02B Software / 001D02B07 Memory organisation. Data processing / 001D02B07B Data processing. List processing. Character string processing
- Pascal
- 001 Exact sciences and technology / 001D Applied sciences / 001D02 Computer science; control theory; systems / 001D02C Artificial intelligence / 001D02C03 Pattern recognition. Digital image processing. Computational geometry
- Pascal
- 001 Exact sciences and technology / 001D Applied sciences / 001D02 Computer science; control theory; systems / 001D02C Artificial intelligence / 001D02C06 Connectionism. Neural networks
- Discipline
- Computer science : theoretical automation and systems
- Origin
- Inist-CNRS
- Database
- PASCAL
- INIST identifier
- 29014295
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
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DOI
10.1016/j.neunet.2014.08.001 
https://dx.doi.org/10.1016/j.neunet.2014.08.001
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