Neural network for nonsmooth pseudoconvex optimization with general constraints
- Author
- QINGFA LI1 ; YAQIU LIU1 ; LIANGKUAN ZHU1
[1] School of Information and Computer Engineering, Northeast Forestry University, Harbin 150040, China - Source
Neurocomputing (Amsterdam). 2014, Vol 131, pp 336-347, 12 p ; ref : 37 ref
- ISSN
- 0925-2312
- Scientific domain
- Cognition; Computer science
- Publisher
- Elsevier, Amsterdam
- Publication country
- Netherlands
- Document type
- Article
- Language
- English
- Author keyword
- Differential inclusion Neural network Nonsmooth optimization Pseudoconvex function Regularization method
- Keyword (fr)
- Analyse non convexe Gestion réseau Inclusion différentielle Méthode régularisation Optimisation sous contrainte Programmation convexe Programmation mathématique Régularisation Réseau neuronal Solution optimale Réseau neuronal récurrent Structure réseau
- Keyword (en)
- Non convex analysis Network management Differential inclusion Regularization method Constrained optimization Convex programming Mathematical programming Regularization Neural network Optimal solution Recurrent neural nets Network structure
- Keyword (es)
- Análisis no convexo Gestión red Inclusión diferencial Método regularización Optimización con restricción Programación convexa Programación matemática Regularización Red neuronal Solución óptima Red neuronal recurrente Estructura de redes
- 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
- 28282926
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.2013.10.008 
https://dx.doi.org/10.1016/j.neucom.2013.10.008
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