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 |
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| 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 | |
| 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 |
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Conference
| Conference | 2nd International Workshop on Cellular Neural Networks and their Applications, CNNA 1992 |
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| Country/Territory | Germany |
| City | Munich |
| Period | 14/10/92 → 16/10/92 |
Bibliographical note
Publisher Copyright:© 1992 IEEE.