| dc.contributor.author | Calcraft, L. | |
| dc.contributor.author | Adams, Roderick | |
| dc.contributor.author | Davey, N. | |
| dc.contributor.editor | Julien, Mayor | |
| dc.contributor.editor | Ruh, Nicholas | |
| dc.contributor.editor | Plunkett, Kim | |
| dc.date.accessioned | 2011-10-13T08:01:09Z | |
| dc.date.available | 2011-10-13T08:01:09Z | |
| dc.date.issued | 2009 | |
| dc.identifier.citation | Calcraft , L , Adams , R & Davey , N 2009 , The performance pf sparsley-connected 2D associative memory models with non-random images . in M Julien , N Ruh & K Plunkett (eds) , Connectionist Models of Behavior and Cognition: Proceedings of the 11th Neural Computation and Psychology Workshop : (Progress in Neural Processing) . vol. 18 , World Scientific Publishing , pp. 103-113 , Proceedings of the 11th Neural Computation and Psychology Worksho , Oxford , United Kingdom , 16/07/08 . https://doi.org/10.1142/9789812834232_0009 | |
| dc.identifier.citation | conference | |
| dc.identifier.isbn | 981-283-422-2 | |
| dc.identifier.isbn | 978-981-283-422-5 | |
| dc.identifier.uri | http://hdl.handle.net/2299/6672 | |
| dc.description | Original conference paper can be found at: http://eproceedings.worldscinet.com/ Copyright World Scientific Publishing [Full text of this paper is not available in the UHRA] | |
| dc.description.abstract | A sparsely connected associative memory model is built with small-world connectivity, and trained on both random, and real-world image sets. It is found that pattern recall using real-world images can vary significantly from that of random images, and that the relationship between network wiring strategy and performance changes dramatically when training sets consist of certain types of real-world image. | en |
| dc.format.extent | 11 | |
| dc.language.iso | eng | |
| dc.publisher | World Scientific Publishing | |
| dc.relation.ispartof | Connectionist Models of Behavior and Cognition: Proceedings of the 11th Neural Computation and Psychology Workshop | |
| dc.title | The performance pf sparsley-connected 2D associative memory models with non-random images | en |
| dc.contributor.institution | School of Computer Science | |
| dc.contributor.institution | Science & Technology Research Institute | |
| dc.contributor.institution | Centre for Computer Science and Informatics Research | |
| dc.contributor.institution | School of Physics, Engineering & Computer Science | |
| rioxxterms.versionofrecord | 10.1142/9789812834232_0009 | |
| rioxxterms.type | Other | |
| herts.preservation.rarelyaccessed | true | |
