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

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

10.1109/TSMCC.2004.843201

Saved in:
Bibliographic Details
Main Authors: Setiono, R., Pan, S.L., Hsieh, M.-H., Azcarraga, A.P.
Other Authors: INFORMATION SYSTEMS
Format: Article
Published: 2013
Subjects:
Brand image perceptions
Core and noncore knowledge
M-of-N rules
Neural networks
Rule extraction
Online Access:http://scholarbank.nus.edu.sg/handle/10635/42399
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: National University of Singapore

Similar Items

Similar Items