Koeppl, H. ; Chua, L. O. (2007)
An Adaptive Cellular Nonlinear Network and its Application.
In: Proceedings of the International Symposium on Nonlinear Theory and its Applications (NOLTA), pages 15–18, Sept. 16-19, 2007, Vancouver, Canada.
Artikel, Bibliographie
Kurzbeschreibung (Abstract)
We propose the extension of the classical framework of Cellular Nonlinear Networks (CNN) to incorporate adaptivity of the cells. Adaptivity means that coupling template coefficients can evolve over time according to some specified rule. Here, the rule is described in terms of a differential equation for each template coefficient. It is proposed that this dynamics can be obtained from the gradient flow of an objective function imposed on the network. The extension is exemplified for a signal processing application, namely the principal subspace analysis (PSA). The application illustrates a top-down approach to self-organization from a global objective to local processing and adaptation rules.
Typ des Eintrags: | Artikel |
---|---|
Erschienen: | 2007 |
Autor(en): | Koeppl, H. ; Chua, L. O. |
Art des Eintrags: | Bibliographie |
Titel: | An Adaptive Cellular Nonlinear Network and its Application |
Sprache: | Englisch |
Publikationsjahr: | 2007 |
Titel der Zeitschrift, Zeitung oder Schriftenreihe: | Proceedings of the International Symposium on Nonlinear Theory and its Applications (NOLTA), pages 15–18, Sept. 16-19, 2007, Vancouver, Canada. |
URL / URN: | http://ieeexplore.ieee.org/xpls/abs\_all.jsp?arnumber=417672... |
Kurzbeschreibung (Abstract): | We propose the extension of the classical framework of Cellular Nonlinear Networks (CNN) to incorporate adaptivity of the cells. Adaptivity means that coupling template coefficients can evolve over time according to some specified rule. Here, the rule is described in terms of a differential equation for each template coefficient. It is proposed that this dynamics can be obtained from the gradient flow of an objective function imposed on the network. The extension is exemplified for a signal processing application, namely the principal subspace analysis (PSA). The application illustrates a top-down approach to self-organization from a global objective to local processing and adaptation rules. |
Fachbereich(e)/-gebiet(e): | 18 Fachbereich Elektrotechnik und Informationstechnik 18 Fachbereich Elektrotechnik und Informationstechnik > Institut für Nachrichtentechnik > Bioinspirierte Kommunikationssysteme 18 Fachbereich Elektrotechnik und Informationstechnik > Institut für Nachrichtentechnik |
Hinterlegungsdatum: | 04 Apr 2014 12:47 |
Letzte Änderung: | 23 Sep 2021 14:32 |
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