Dynamic Bidirectional Associative Memory Using Chaotic Neurons
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Lee, Ju-Jang | ko |
| dc.date.accessioned | 2009-01-08T05:58:20Z | - |
| dc.date.available | 2009-01-08T05:58:20Z | - |
| dc.date.created | 2012-02-06 | - |
| dc.date.created | 2012-02-06 | - |
| dc.date.issued | 2000-12 | - |
| dc.identifier.citation | ARTIFICIAL LIFE AND ROBOTICS, v.4, no.1, pp.12 - 16 | - |
| dc.identifier.issn | 1433-5298 | - |
| dc.identifier.uri | http://hdl.handle.net/10203/8246 | - |
| dc.description | This work was presented, in part, at the Fourth International Symposium on Artificial Life and Robotics, Oita, Japan, January 19–22, 1999 | en |
| dc.description.abstract | A dynamic bidirectional associative memory (DBAM) with chaotic neurons as nodes is proposed. A learning algorithm based on Pontryagin’s minimum principle makes the DBAM equivalent to any other BAM so far reported. The input selection mechanism gives the DBAM the additional ability of multiple memory access, which is based on the dynamics of the chaotic neuron. | - |
| dc.language | English | - |
| dc.language.iso | en_US | en |
| dc.publisher | Springer Verlag | - |
| dc.title | Dynamic Bidirectional Associative Memory Using Chaotic Neurons | - |
| dc.type | Article | - |
| dc.type.rims | ART | - |
| dc.citation.volume | 4 | - |
| dc.citation.issue | 1 | - |
| dc.citation.beginningpage | 12 | - |
| dc.citation.endingpage | 16 | - |
| dc.citation.publicationname | ARTIFICIAL LIFE AND ROBOTICS | - |
| dc.embargo.liftdate | 9999-12-31 | - |
| dc.embargo.terms | 9999-12-31 | - |
| dc.contributor.localauthor | Lee, Ju-Jang | - |
- Appears in Collection
- EE-Journal Papers(저널논문)
- Files in This Item
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.