Distance preserving 1D turing-pattern models via CNN, implementing of complex-valued CNN, and solving a simple inverse pattern problem (detection).( Research report of the Analogical and Neural Computing Laboratory, DNS-3-1996.)
Tóth, Gábor András and Földesy, Péter and Roska, Tamás (1996) Distance preserving 1D turing-pattern models via CNN, implementing of complex-valued CNN, and solving a simple inverse pattern problem (detection).( Research report of the Analogical and Neural Computing Laboratory, DNS-3-1996.). MTA SZTAKI, Budapest, p. 23.
Full text not available from this repository.| Item Type: | Book |
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| Subjects: | Q Science > QA Mathematics and Computer Science > QA75 Electronic computers. Computer science / számítástechnika, számítógéptudomány |
| Divisions: | Cellular Sensory and Optical Wave Computing Laboratory |
| Depositing User: | Eszter Nagy |
| Date Deposited: | 11 Dec 2012 14:52 |
| Last Modified: | 11 Dec 2012 14:52 |
| URI: | https://eprints.sztaki.hu/id/eprint/1218 |
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