Parks, P.C. ; Militzer, Jürgen (1989)
Convergence Properties of Associative Memory Storage for Learning Control Systems.
In: IFAC Proceedings Volumes, 23 (1)
doi: 10.1016/S1474-6670(17)52750-0
Artikel, Bibliographie
Dies ist die neueste Version dieses Eintrags.
Kurzbeschreibung (Abstract)
First, the cerebellar model articulation controller (CMAC), invented in the early 1970s by J S Albus, and the associative memory system (AMS), developed for learning control systems by H Tolle, E Ersü and J Militzer in the early 1980s, are briefly described. The underlying mathematics of the AMS learning or training algorithm is then given with a geometrical interpretation from which its convergence properties may be deduced. These are illustrated for some simple cases.
The original algorithm devised by Albus is very simple to compute but is slow to converge, and the second part of the paper investigates various methods of speeding up the algorithm. From an application of these new algorithms to test cases one is strongly recommended for further evaluation.
The results reported here are of relevance also to the topical and rapidly growing field of neural computing.
| Typ des Eintrags: | Artikel |
|---|---|
| Erschienen: | 1989 |
| Autor(en): | Parks, P.C. ; Militzer, Jürgen |
| Art des Eintrags: | Bibliographie |
| Titel: | Convergence Properties of Associative Memory Storage for Learning Control Systems |
| Sprache: | Englisch |
| Publikationsjahr: | 1989 |
| Ort: | Darmstadt |
| Verlag: | IFAC - International Federation of Automatic Control |
| Titel der Zeitschrift, Zeitung oder Schriftenreihe: | IFAC Proceedings Volumes |
| Jahrgang/Volume einer Zeitschrift: | 23 |
| (Heft-)Nummer: | 1 |
| DOI: | 10.1016/S1474-6670(17)52750-0 |
| Zugehörige Links: | |
| Kurzbeschreibung (Abstract): | First, the cerebellar model articulation controller (CMAC), invented in the early 1970s by J S Albus, and the associative memory system (AMS), developed for learning control systems by H Tolle, E Ersü and J Militzer in the early 1980s, are briefly described. The underlying mathematics of the AMS learning or training algorithm is then given with a geometrical interpretation from which its convergence properties may be deduced. These are illustrated for some simple cases. The original algorithm devised by Albus is very simple to compute but is slow to converge, and the second part of the paper investigates various methods of speeding up the algorithm. From an application of these new algorithms to test cases one is strongly recommended for further evaluation. The results reported here are of relevance also to the topical and rapidly growing field of neural computing. |
| Zusätzliche Informationen: | Zugl. Konferenzveröffentlichung: 3rd IFAC Symposium on Adaptive Systems in control and signal Processing, 19.-21.04.1989, Glasgow, UK |
| Sachgruppe der Dewey Dezimalklassifikatin (DDC): | 600 Technik, Medizin, angewandte Wissenschaften > 620 Ingenieurwissenschaften und Maschinenbau |
| Fachbereich(e)/-gebiet(e): | 18 Fachbereich Elektrotechnik und Informationstechnik 18 Fachbereich Elektrotechnik und Informationstechnik > Institut für Automatisierungstechnik und Mechatronik 18 Fachbereich Elektrotechnik und Informationstechnik > Institut für Automatisierungstechnik und Mechatronik > Regelungsmethoden und Intelligente Systeme |
| Hinterlegungsdatum: | 02 Aug 2024 12:51 |
| Letzte Änderung: | 02 Aug 2024 12:51 |
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Convergence Properties of Associative Memory Storage for Learning Control Systems. (deposited 25 Apr 2023 12:42)
- Convergence Properties of Associative Memory Storage for Learning Control Systems. (deposited 02 Aug 2024 12:51) [Gegenwärtig angezeigt]
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