374 search results - page 33 / 75 » Training the random neural network using quasi-Newton method... |
ICONIP
2007
15 years 1 months ago
2007
Multiclass gene selection and classification of cancer are rapidly gaining attention in recent years, while conventional rank-based gene selection methods depend on predefined idea...
104
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ITCC
2005
IEEE
15 years 5 months ago
2005
IEEE
The main focus of this study is to compare different performances of soft computing paradigms for predicting the direction of individuals stocks. Three different artificial intell...
ISNN
2007
Springer
15 years 6 months ago
2007
Springer
Normal fuzzy CMAC neural network performs well because of its fast learning speed and local generalization capability for approximating nonlinear functions. However, it requires hu...
106
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ISNN
2009
Springer
15 years 6 months ago
2009
Springer
In real-world applications, it has been observed that class imbalance (significant differences in class prior probabilities) may produce an important deterioration of the classifie...
102
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WAPCV
2004
Springer
15 years 5 months ago
2004
Springer
Abstract. Selective attention shift can help neural networks learn invariance. We describe a method that can produce a network with invariance to changes in visual input caused by ...