UCL logo

UCL Discovery

UCL home » Library Services » Electronic resources » UCL Discovery

A hypermap approach to multiple sequence processing

Nyamapfene, A; (2010) A hypermap approach to multiple sequence processing. International Journal of Computers and Applications , 32 (2) pp. 160-166.

Full text not available from this repository.

Abstract

A self-organizing neural network that learns and recalls multiple sequences is presented. Each of the sequences may have recurring items, and several sequences may have one or more common items. The self-organizing temporal network stores each sequence independently of other sequences, and the learning of a sequence does not necessitate a retraining of the network on previously learnt sequences. An experimental assessment using a benchmark set of sequences suggests that the network recalls stored sequences in their intact form when presented with their sequence identity vectors or when presented with their constituent subsequences. The utility of the proposed temporal network, which also exhibits multimodality, is demonstrated by incorporating the network into a gated multinet model of early child language development.

Type: Article
Title: A hypermap approach to multiple sequence processing
UCL classification: UCL > School of BEAMS
UCL > School of BEAMS > Faculty of Engineering Science
UCL > School of BEAMS > Faculty of Engineering Science > Engineering Science Faculty Office
URI: http://discovery.ucl.ac.uk/id/eprint/1433208
Downloads since deposit
0Downloads
Download activity - last month
Download activity - last 12 months
Downloads by country - last 12 months

Archive Staff Only

View Item View Item