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TNN
2008
13 years 6 months ago
2008
In this paper, a supervised neural network training technique based on constrained optimization is developed for preserving prior knowledge of an input
TNN
2008
13 years 6 months ago
2008
In this paper, several sufficient conditions are established for the global asymptotic stability of recurrent neural networks with multiple time-varying delays. The Lyapunov
TNN
2008
13 years 6 months ago
2008
Abstract--Despite its great importance, there has been no general consensus on how to model the trends in time
TNN
2008
13 years 6 months ago
2008
Abstract--In this paper, we propose a novel large margin classifier, called the maxi
TNN
1998
13 years 6 months ago
1998
—Oja’s principal subspace algorithm is a well-known and powerful technique for learning and tracking principal information in time series. A thorough investigation of the conve...