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Choosing feature sets for training and testing self-organising maps: A case study

Ahmad, K, Vrusias, BL and Ledford, A (2001) Choosing feature sets for training and testing self-organising maps: A case study NEURAL COMPUTING & APPLICATIONS, 10 (1). pp. 56-66.

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Item Type: Article
Authors :
NameEmailORCID
Ahmad, KUNSPECIFIEDUNSPECIFIED
Vrusias, BLb.vrusias@surrey.ac.ukUNSPECIFIED
Ledford, AUNSPECIFIEDUNSPECIFIED
Date : 1 January 2001
Identification Number : 10.1007/s005210170018
Uncontrolled Keywords : Science & Technology, Technology, Computer Science, Artificial Intelligence, Computer Science, COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE, automatic classification, Kohonen map, linear discriminant rule, SOFM, text classification, training NN, weirdness coefficient
Related URLs :
Depositing User : Symplectic Elements
Date Deposited : 17 May 2017 11:01
Last Modified : 17 May 2017 14:53
URI: http://epubs.surrey.ac.uk/id/eprint/829698

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