Exact design of reciprocal cellular neural networks

J. A. Osuna; G. S. Moschytz

doi:10.1109/CNNA.1992.274334

Exact design of reciprocal cellular neural networks

J. A. Osuna, G. S. Moschytz

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

Based on two classes of equilibrium equations, a design method for reciprocal Cellular Neural Networks is presented. The local rules denning the task to be accomplished by the network are directly mapped into a set of linear inequalities that bound the solution space of the network parameters for the given problem. All points in the solution space guarantee the correct operation of the network. A solution can be computed by the relaxation method for solving sets of linear inequalities.

Original language	English
Title of host publication	Proceedings - 2nd International Workshop on Cellular Neural Networks and their Applications, CNNA 1992
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	11-16
Number of pages	6
ISBN (Electronic)	0780308751, 9780780308756
DOIs	https://doi.org/10.1109/CNNA.1992.274334
State	Published - 1992
Externally published	Yes
Event	2nd International Workshop on Cellular Neural Networks and their Applications, CNNA 1992 - Munich, Germany Duration: 14 Oct 1992 → 16 Oct 1992

Publication series

Name	Proceedings - 2nd International Workshop on Cellular Neural Networks and their Applications, CNNA 1992

Conference

Conference	2nd International Workshop on Cellular Neural Networks and their Applications, CNNA 1992
Country/Territory	Germany
City	Munich
Period	14/10/92 → 16/10/92

Bibliographical note

Publisher Copyright:
© 1992 IEEE.

Access to Document

10.1109/CNNA.1992.274334

Cite this

Osuna, J. A., & Moschytz, G. S. (1992). Exact design of reciprocal cellular neural networks. In Proceedings - 2nd International Workshop on Cellular Neural Networks and their Applications, CNNA 1992 (pp. 11-16). [274334] (Proceedings - 2nd International Workshop on Cellular Neural Networks and their Applications, CNNA 1992). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CNNA.1992.274334

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abstract = "Based on two classes of equilibrium equations, a design method for reciprocal Cellular Neural Networks is presented. The local rules denning the task to be accomplished by the network are directly mapped into a set of linear inequalities that bound the solution space of the network parameters for the given problem. All points in the solution space guarantee the correct operation of the network. A solution can be computed by the relaxation method for solving sets of linear inequalities.",

author = "Osuna, {J. A.} and Moschytz, {G. S.}",

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doi = "10.1109/CNNA.1992.274334",

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Osuna, JA & Moschytz, GS 1992, Exact design of reciprocal cellular neural networks. in Proceedings - 2nd International Workshop on Cellular Neural Networks and their Applications, CNNA 1992., 274334, Proceedings - 2nd International Workshop on Cellular Neural Networks and their Applications, CNNA 1992, Institute of Electrical and Electronics Engineers Inc., pp. 11-16, 2nd International Workshop on Cellular Neural Networks and their Applications, CNNA 1992, Munich, Germany, 14/10/92. https://doi.org/10.1109/CNNA.1992.274334

Exact design of reciprocal cellular neural networks. / Osuna, J. A.; Moschytz, G. S.
Proceedings - 2nd International Workshop on Cellular Neural Networks and their Applications, CNNA 1992. Institute of Electrical and Electronics Engineers Inc., 1992. p. 11-16 274334 (Proceedings - 2nd International Workshop on Cellular Neural Networks and their Applications, CNNA 1992).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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Osuna JA, Moschytz GS. Exact design of reciprocal cellular neural networks. In Proceedings - 2nd International Workshop on Cellular Neural Networks and their Applications, CNNA 1992. Institute of Electrical and Electronics Engineers Inc. 1992. p. 11-16. 274334. (Proceedings - 2nd International Workshop on Cellular Neural Networks and their Applications, CNNA 1992). doi: 10.1109/CNNA.1992.274334

Exact design of reciprocal cellular neural networks

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Bibliographical note

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