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Reduced pattern training based on task decomposition using pattern distributor

Author
GUAN, Sheng-Uei1 ; CHUNYU BAO2 ; NEO, Tsengee2
[1] School of Engineering and Design, Brunel University, Uxbridge, Middlesex UB8 3PH, United Kingdom
[2] Department of Electrical and Computer Engineering, National University of Singapore, Singapore 119260, Singapore
Source

IEEE transactions on neural networks. 2007, Vol 18, Num 6, pp 1738-1749, 12 p ; ref : 26 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
Author keyword
Crosstalk-based combination full pattern training (FPT) genetic-algorithm-based combination pattern distributor reduced pattern training (RPT) task decomposition
Keyword (fr)
Algorithme génétique Algorithme rétropropagation Classification Diaphonie Groupage Modélisation Parallélisme Réseau multicouche Réseau neuronal Rétropropagation
Keyword (en)
Genetic algorithm Backpropagation algorithm Classification Crosstalk Grouping Modeling Parallelism Multilayer network Neural network Backpropagation
Keyword (es)
Algoritmo genético Algoritmo retropropagación Clasificación Diafonía Agrupamiento Modelización Paralelismo Red multinivel 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
19214556

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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