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Separating core and noncore knowledge : An application of neural network rule extraction to a cross-national study of brand image perception

Author
SETIONO, Rudy1 ; PAN, Shan L1 ; HSIEH, Ming-Huei2 ; AZCARRAGA, Amulfo P3
[1] School of Computing, National University of Singapore, Singapore 117543, Singapore
[2] Department of International Business, Yuan Ze University, Chung-Li, Taoyuan 320, Taiwan, Province of China
[3] College of Computer Studies, De La Salle University, Manilla 1004, Philippines
Source

IEEE transactions on systems, man and cybernetics. Part C, Applications and reviews. 2005, Vol 35, Num 4, pp 465-475, 11 p ; ref : 33 ref

CODEN
ITCRFH
ISSN
1094-6977
Scientific domain
Computer science
Publisher
Institute of Electrical and Electronics Engineers, New-York, NY
Publication country
United States
Document type
Article
Language
English
Author keyword
Brand image perceptions M-of-N rules core and noncore knowledge neural networks rule extraction
Keyword (fr)
Acquisition connaissances Arbre décision Automobile Consommateur Extraction connaissances Intelligence artificielle Japonais Marque déposée Perception sociale Psychologie sociale Réseau neuronal Similitude Solution similitude
Keyword (en)
Knowledge acquisition Decision tree Motor car Consumer Knowledge extraction Artificial intelligence Japanese Registered trade mark Social perception Social psychology Neural network Similarity Similarity solution
Keyword (es)
Adquisición de conocimientos Arbol decisión Automóvil Consumidor Extracción conocimiento Inteligencia artificial Japonés Marca registrada Percepción social Psicología social Red neuronal Similitud Solución semejanza
Classification
Pascal
001 Exact sciences and technology / 001D Applied sciences / 001D02 Computer science; control theory; systems / 001D02C Artificial intelligence

Pascal
001 Exact sciences and technology / 001D Applied sciences / 001D02 Computer science; control theory; systems / 001D02D Control theory. Systems

Discipline
Computer science : theoretical automation and systems
Origin
Inist-CNRS
Database
PASCAL
INIST identifier
17203803

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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