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Boundedness and Convergence of Split-Complex Back-Propagation Algorithm with Momentum and Penalty

Author
HUISHENG ZHANG2 ; DONGPO XU3 ; YING ZHANG1
[1] Department of Mathematics, Dalian Maritime University, Dalian 116026, China
[2] Research Center of Information and Control, Dalian University of Technology, Dalian 116024, China
[3] College of Science, Harbin Engineering University, Harbin 150001, China
Source

Neural processing letters. 2014, Vol 39, Num 3, pp 297-307, 11 p ; ref : 24 ref

ISSN
1370-4621
Scientific domain
Cognition; Computer science
Publisher
Springer, Dordrecht
Publication country
Netherlands
Document type
Article
Language
English
Author keyword
Boundedness Complex-valued neural networks Convergence Momentum Penalty Split-complex back-propagation algorithm
Keyword (fr)
Algorithme rétropropagation Convergence numérique Fonction activation Fonction erreur Graphe pondéré Monotonie Méthode variable complexe Réseau neuronal Rétropropagation
Keyword (en)
Backpropagation algorithm Numerical convergence Activation function Error function Weighted graph Monotonicity Complex variable method Neural network Backpropagation
Keyword (es)
Algoritmo retropropagación Convergencia numérica Función actividad Función error Grafo pondero Monotonía Método variable compleja Red neuronal Retropropagacíon
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
28472894

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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