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NPL
2002

Additive Composition of Supervised Self Organizing Maps

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Additive Composition of Supervised Self Organizing Maps
The learning of complex relationships can be decomposed into several neural networks. The modular organization is determined by prior knowledge of the problem that permits to splitthe processing into tasks ofsmall dimensionality.The sub-tasks can be implemented with neural networks, although the learning examples cannot be used anymore to supervise directly each ofthe networks.This article addresses the problem of learning in a modular context, developing inparticularadditivecompositions. Asimple ruleallows de
Jean-Luc Buessler, Jean-Philippe Urban, Julien Gre
Added 22 Dec 2010
Updated 22 Dec 2010
Type Journal
Year 2002
Where NPL
Authors Jean-Luc Buessler, Jean-Philippe Urban, Julien Gresser
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