Adaptive Ho-Kashyap rules for perceptron training
- Author
- HASSOUN, M. H; JING SONG
Wayne state univ., dep. electrical computer eng., Detroit MI 48202, United States - Source
IEEE transactions on neural networks. 1992, Vol 3, Num 1, pp 51-61 ; ref : 17 ref
- CODEN
- ITNNEP
- ISSN
- 1045-9227
- Scientific domain
- Electronics; Computer science; Psychology, psychopathology, psychiatry
- Publisher
- Institute of Electrical and Electronics Engineers, New York, NY
- Publication country
- United States
- Document type
- Article
- Language
- English
- Keyword (fr)
- Méthode adaptative Réseau neuronal Simulation numérique Algorithme apprentissage Perceptron
- Keyword (en)
- Adaptive method Neural network Numerical simulation Learning algorithm Perceptron
- Keyword (es)
- Método adaptativo Red neuronal Simulación numérica
- Classification
- Pascal
- 001 Exact sciences and technology / 001B Physics / 001B00 General / 001B00B Mathematical methods in physics / 001B00B30 Function theory, analysis
- Discipline
- Mathematics Theoretical physics
- Origin
- Inist-CNRS
- Database
- PASCAL
- INIST identifier
- 5240531
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
10.1109/72.105417 
https://dx.doi.org/10.1109/72.105417
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