Implementation of cellular wave computing methods by hardware learning: Ion beam analysis
Research output: Contribution to book/Conference proceedings/Anthology/Report › Conference contribution › Contributed › peer-review
Contributors
Abstract
In this contribution we will present an on-chip training by implementing an evolutionary optimization algorithm on the EyeRIS Vision System. Furthermore first results in the analysis of ion beams performed on the same hardware platform using standard templates will be presented.
Details
| Original language | English |
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| Title of host publication | Proceedings of the 2006 10th IEEE International Workshop on Cellular Neural Networks and their Applications, CNNA 2006 |
| Publication status | Published - 2006 |
| Peer-reviewed | Yes |
| Externally published | Yes |
Publication series
| Series | IEEE International Workshop on Cellular Nanoscale Networks and their Applications (CNNA) |
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| ISSN | 2165-0144 |
Conference
| Title | 2006 10th IEEE International Workshop on Cellular Neural Networks and their Applications, CNNA 2006 |
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| Duration | 28 - 30 August 2006 |
| City | Istanbul |
| Country | Turkey |
External IDs
| ORCID | /0000-0001-7436-0103/work/173513946 |
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Keywords
ASJC Scopus subject areas
Keywords
- CNN hardware, Ion beam analysis, On-chip learning