dc.contributor.author | Turvey, S.P. | |
dc.contributor.author | Hunt, S. | |
dc.contributor.author | Davey, N. | |
dc.contributor.author | Frank, R. | |
dc.contributor.editor | Lotfi, A. | |
dc.contributor.editor | Garibaldi, J.M. | |
dc.date.accessioned | 2009-10-20T08:49:05Z | |
dc.date.available | 2009-10-20T08:49:05Z | |
dc.date.issued | 2004 | |
dc.identifier.citation | Turvey , S P , Hunt , S , Davey , N & Frank , R 2004 , High Performance Associative Memories and Structured Weight Dilution . in A Lotfi & J M Garibaldi (eds) , Applications and Science in Soft Computing - Advances in Intelligent and Soft Computing , Vol. 24 . Springer Nature , pp. 23-30 . | |
dc.identifier.isbn | 978-3-540-40856-7 | |
dc.identifier.other | PURE: 85959 | |
dc.identifier.other | PURE UUID: f3e1e9cc-0c8e-45a0-8a26-3fc03b33427f | |
dc.identifier.other | dspace: 2299/3973 | |
dc.identifier.uri | http://hdl.handle.net/2299/3973 | |
dc.description | Copyright Springer | |
dc.description.abstract | The consequences of two techniques for symmetrically diluting the weights of the standard Hopfield architecture associative memory model, trained using a non-Hebbian learning rule, are examined. This paper reports experimental investigations into the effect of dilution on factors such as: pattern stability and attractor performance. It is concluded that these networks maintain a reasonable level of performance at fairly high dilution rates. | en |
dc.language.iso | eng | |
dc.publisher | Springer Nature | |
dc.relation.ispartof | Applications and Science in Soft Computing - Advances in Intelligent and Soft Computing , Vol. 24 | |
dc.subject | Hopfield Networks | |
dc.subject | Basins of Attraction | |
dc.title | High Performance Associative Memories and Structured Weight Dilution | en |
dc.contributor.institution | School of Computer Science | |
dc.contributor.institution | Science & Technology Research Institute | |
rioxxterms.type | Other | |
herts.preservation.rarelyaccessed | true | |