An Internal Mechanism for Detecting Parasite Attractors in a Hopfield Network

This paper presents a built-in mechanism for automatic detection of prototypes (as opposed to parasite attractors) in a Hopfield network. It has a good statistical performance and avoids host computer overhead for this purpose. This mechanism is based on an internal coding of the prototypes during l...

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Veröffentlicht in:	Neural computation 1994-09, Vol.6 (5), p.902-915
Hauptverfasser:	Gascuel, Jean-Dominique, Moobed, Bahram, Weinfeld, Michel
Format:	Artikel
Sprache:	eng
Schlagworte:	Applied sciences Artificial intelligence Computer science control theory systems Connectionism. Neural networks Exact sciences and technology
Online-Zugang:	Volltext
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