| dc.contributor.author |
TAMBOURATZIS, G |
en |
| dc.date.accessioned |
2014-06-06T06:42:35Z |
|
| dc.date.available |
2014-06-06T06:42:35Z |
|
| dc.date.issued |
1994 |
en |
| dc.identifier.issn |
0013-5194 |
en |
| dc.identifier.uri |
http://62.217.125.90/xmlui/handle/123456789/698 |
|
| dc.subject |
NEURAL NETWORKS |
en |
| dc.subject |
LEARNING SYSTEMS |
en |
| dc.subject |
PATTERN RECOGNITION |
en |
| dc.subject.classification |
Engineering, Electrical & Electronic |
en |
| dc.title |
COMPARISON OF SUPERVISED AND UNSUPERVISED DISCRIMINATOR-BASED LOGIC NEURAL NETWORKS |
en |
| heal.type |
journalArticle |
en |
| heal.language |
English |
en |
| heal.publicationDate |
1994 |
en |
| heal.abstract |
A self-organising discriminator-based logic neural network is compared to the similarly-structured supervised WISARD neural network on the basis of their performance in a pattern recognition task. The self-organising system is shown to possess a superior performance in learning environments where the training patterns have a high degree of variability. |
en |
| heal.publisher |
IEE-INST ELEC ENG |
en |
| heal.journalName |
ELECTRONICS LETTERS |
en |
| dc.identifier.issue |
3 |
en |
| dc.identifier.volume |
30 |
en |
| dc.identifier.isi |
ISI:A1994MX97100054 |
en |
| dc.identifier.spage |
248 |
en |
| dc.identifier.epage |
249 |
en |