DocumentCode :
1266184
Title :
Detection of spurious states of neural networks
Author :
Crama, Yves ; Hansen, Pierre ; Jaumard, Brigitte
Author_Institution :
Dept. of Quantitative Econ., Limburg Univ., Maastricht, Netherlands
Volume :
2
Issue :
1
fYear :
1991
fDate :
1/1/1991 12:00:00 AM
Firstpage :
165
Lastpage :
168
Abstract :
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
Keywords :
computational complexity; neural nets; complexity; linear combinations; neural networks; spurious states; Computer networks; Hopfield neural networks; Information retrieval; Neural networks; Vectors;
fLanguage :
English
Journal_Title :
Neural Networks, IEEE Transactions on
Publisher :
ieee
ISSN :
1045-9227
Type :
jour
DOI :
10.1109/72.80307
Filename :
80307
Link To Document :
بازگشت