Distance preserving 1D Turing-wave models via CNN, implementation of complex-valued CNN and solving a simple inverse pattern problem (detection)

G. Toth, P. Foldesy, T. Roska

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In the first part of this paper a CNN implementation of a reaction-diffusion system is described that produces distance preserving periodic Turing patterns. In the second part the CNN with complex-valued templates are introduced, presenting an application for pattern generation. In the third part a method for black-and-white pattern detection will be described.

Original languageEnglish
Title of host publicationProceedings of the IEEE International Workshop on Cellular Neural Networks and their Applications
PublisherIEEE
Pages109-114
Number of pages6
Publication statusPublished - 1996
EventProceedings of the 1996 4th IEEE International Workshop on Cellular Neural Networks, and Their Applications, CNNA-96 - Seville, Spain
Duration: Jun 24 1996Jun 26 1996

Other

OtherProceedings of the 1996 4th IEEE International Workshop on Cellular Neural Networks, and Their Applications, CNNA-96
CitySeville, Spain
Period6/24/966/26/96

ASJC Scopus subject areas

  • Software

Cite this

Toth, G., Foldesy, P., & Roska, T. (1996). Distance preserving 1D Turing-wave models via CNN, implementation of complex-valued CNN and solving a simple inverse pattern problem (detection). In Proceedings of the IEEE International Workshop on Cellular Neural Networks and their Applications (pp. 109-114). IEEE.

Distance preserving 1D Turing-wave models via CNN, implementation of complex-valued CNN and solving a simple inverse pattern problem (detection). / Toth, G.; Foldesy, P.; Roska, T.

Proceedings of the IEEE International Workshop on Cellular Neural Networks and their Applications. IEEE, 1996. p. 109-114.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Toth, G, Foldesy, P & Roska, T 1996, Distance preserving 1D Turing-wave models via CNN, implementation of complex-valued CNN and solving a simple inverse pattern problem (detection). in Proceedings of the IEEE International Workshop on Cellular Neural Networks and their Applications. IEEE, pp. 109-114, Proceedings of the 1996 4th IEEE International Workshop on Cellular Neural Networks, and Their Applications, CNNA-96, Seville, Spain, 6/24/96.
Toth G, Foldesy P, Roska T. Distance preserving 1D Turing-wave models via CNN, implementation of complex-valued CNN and solving a simple inverse pattern problem (detection). In Proceedings of the IEEE International Workshop on Cellular Neural Networks and their Applications. IEEE. 1996. p. 109-114
Toth, G. ; Foldesy, P. ; Roska, T. / Distance preserving 1D Turing-wave models via CNN, implementation of complex-valued CNN and solving a simple inverse pattern problem (detection). Proceedings of the IEEE International Workshop on Cellular Neural Networks and their Applications. IEEE, 1996. pp. 109-114
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