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Detection of spurious states of neural networks
Crama, Yves; Hansen, Pierre; Jaumard, Brigitte
1991In IEEE Transactions on Neural Networks, 2, p. 165-168
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Abstract :
[en] The authors study the complexity and propose an algorithm for the problem of determining, given p vectors of {-1,1}^n, all linear combinations of them which are also in {-1,1}^n. Computational results are reported. This problem corresponds to the detection of spurious states in neural networks.
Disciplines :
Computer science
Mathematics
Author, co-author :
Crama, Yves  ;  Université de Liège - ULiège > HEC Liège : UER > Recherche opérationnelle et gestion de la production
Hansen, Pierre
Jaumard, Brigitte
Language :
English
Title :
Detection of spurious states of neural networks
Publication date :
1991
Journal title :
IEEE Transactions on Neural Networks
ISSN :
1045-9227
Publisher :
IEEE, Piscataway, United States - New Jersey
Volume :
2
Pages :
165-168
Peer reviewed :
Peer Reviewed verified by ORBi
Available on ORBi :
since 23 December 2017

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