Presentation
Convergence and stability of the FSR CNN model
Author/s | Espejo Meana, Servando Carlos
Rodríguez Vázquez, Ángel Benito Domínguez Castro, Rafael Carmona Galán, Ricardo |
Department | Universidad de Sevilla. Departamento de Electrónica y Electromagnetismo |
Publication Date | 1994 |
Deposit Date | 2020-03-10 |
Published in |
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ISBN/ISSN | 0-7803-2070-0 |
Abstract | Stability and convergency results are reported for a modified continuous-time CNN model. The signal range of the state variables is equal to the unitary interval, independently of the application. Stability and convergency ... Stability and convergency results are reported for a modified continuous-time CNN model. The signal range of the state variables is equal to the unitary interval, independently of the application. Stability and convergency properties are similar to those of the original model and, for given templates and offset coefficients, the results are generally identical. In addition, robustness and area-efficiency of VLSI implementations are significantly advantageous. |
Citation | Espejo Meana, S.C., Rodríguez Vázquez, Á.B., Domínguez Castro, R. y Carmona Galán, R. (1994). Convergence and stability of the FSR CNN model. En IEEE International Workshop on Cellular Neural Networks and their Applications (411-416), Roma, Italia: Institute of Electrical and Electronics Engineers. |
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