Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/3237
Title: Self-similarity in networks that learn by examples
Authors: VAN DEN BROECK, Christian 
BEX, Geert Jan 
Issue Date: 1998
Publisher: TAYLOR & FRANCIS LTD
Source: PHILOSOPHICAL MAGAZINE B-PHYSICS OF CONDENSED MATTER STATISTICAL MECHANICS ELECTRONIC OPTICAL AND MAGNETIC PROPERTIES, 77(5). p. 1479-1486
Abstract: We illustrate how a multifractal analysis, based on numerical results for Boolean networks and analytic results for neural networks, allows us to gain insight into the mechanism by which networks can learn by examples.
Notes: Limburgs Univ Ctr, B-3590 Diepenbeek, Belgium.Van den Broeck, C, Limburgs Univ Ctr, Univ Campus, B-3590 Diepenbeek, Belgium.
Document URI: http://hdl.handle.net/1942/3237
DOI: 10.1080/014186398258870
ISI #: 000073595300041
Type: Journal Contribution
Validations: ecoom 1999
Appears in Collections:Research publications

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