374 search results - page 25 / 75 » Training the random neural network using quasi-Newton method... |
KES
2008
Springer
14 years 11 months ago
2008
Springer
Epilepsy is one of the most frequent neurological disorders. The main method used in epilepsy diagnosis is electroencephalogram (EEG) signal analysis. However this method requires ...
ESANN
2007
15 years 1 months ago
2007
Training recurrent neural networks is hard. Recently it has however been discovered that it is possible to just construct a random recurrent topology, and only train a single linea...
100
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SOFSEM
2004
Springer
15 years 5 months ago
2004
Springer
Recent studies show that state-space dynamics of randomly initialized recurrent neural network (RNN) has interesting and potentially useful properties even without training. More p...
IJON
2006
14 years 11 months ago
2006
This paper proposes a novel and successful method for recognizing palmprint based on radial basis probabilistic neural network (RBPNN) proposed by us. The RBPNN is trained by the ...
114
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CIBCB
2007
IEEE
15 years 3 months ago
2007
IEEE
The accurate prediction of enzyme catalytic sites remains an open problem in bioinformatics. Recently, several structure-based methods have become popular; however, few robust seq...