Convergence of online gradient method for feedforward neural networks with smoothing L1/2 regularization penalty
- Author
- QINWEI FAN1 2 ; ZURADA, Jacek M2 3 ; WEI WU1
[1] School of Mathematical Sciences, Dalian University of Technology, Dalian 116024, China
[2] Department of Electrical and Computer Engineering, University of Louisville, Louisville, KY 40292, United States
[3] Spoleczna Akademia Nauk, 90-011 Lodz, Poland - Source
Neurocomputing (Amsterdam). 2014, Vol 131, pp 208-216, 9 p ; ref : 39 ref
- ISSN
- 0925-2312
- Scientific domain
- Cognition; Computer science
- Publisher
- Elsevier, Amsterdam
- Publication country
- Netherlands
- Document type
- Article
- Language
- English
- Author keyword
- Boundedness Convergence Feedforward neural networks Online gradient method Smoothing L1/2 regularization
- Keyword (fr)
- Analyse non convexe Boucle anticipation Convergence forte Convergence numérique Fonction Lipschitz Fonction erreur Fonction objectif Fonction régulière Graphe pondéré Lissage Minimisation Méthode gradient Méthode lissage Représentation parcimonieuse Régularisation Réseau neuronal Réseau neuronal non bouclé
- Keyword (en)
- Non convex analysis Feedforward Strong convergence Numerical convergence Lipschitz function Error function Objective function Smooth function Weighted graph Smoothing Minimization Gradient method Smoothing methods Sparse representation Regularization Neural network Feedforward neural nets
- Keyword (es)
- Análisis no convexo Ciclo anticipación Convergencia fuerte Convergencia numérica Función Lipschitz Función error Función objetivo Función regular Grafo pondero Alisamiento Minimización Método gradiente Representación parsimoniosa Regularización Red neuronal Red neural unidireccional
- Classification
- 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
- 28282914
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.neucom.2013.10.023 
https://dx.doi.org/10.1016/j.neucom.2013.10.023
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