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TNN
1998
85views more  TNN 1998»
13 years 6 months ago
Fast numerical integration of relaxation oscillator networks based on singular limit solutions
—Relaxation oscillations exhibiting more than one time scale arise naturally from many physical systems. When relaxation oscillators are coupled in a way that resembles chemical ...
P. S. Linsay, DeLiang L. Wang
TNN
1998
254views more  TNN 1998»
13 years 6 months ago
Comparative analysis of fuzzy ART and ART-2A network clustering performance
—Adaptive resonance theory (ART) describes a family of self-organizing neural networks, capable of clustering arbitrary sequences of input patterns into stable recognition codes....
T. Frank, Karl-Friedrich Kraiss, Torsten Kuhlen
TNN
1998
111views more  TNN 1998»
13 years 6 months ago
Asymptotic distributions associated to Oja's learning equation for neural networks
— In this paper, we perform a complete asymptotic performance analysis of the stochastic approximation algorithm (denoted subspace network learning algorithm) derived from Oja’...
Jean Pierre Delmas, Jean-Francois Cardos
TNN
1998
146views more  TNN 1998»
13 years 6 months ago
Fuzzy lattice neural network (FLNN): a hybrid model for learning
— This paper proposes two hierarchical schemes for learning, one for clustering and the other for classification problems. Both schemes can be implemented on a fuzzy lattice neu...
Vassilios Petridis, Vassilis G. Kaburlasos
TNN
1998
146views more  TNN 1998»
13 years 6 months ago
An analytical framework for local feedforward networks
Interference in neural networks occurs when learning in one area of the input space causes unlearning in another area. Networks that are less susceptible to interference are refer...
S. Weaver, L. Baird, Marios M. Polycarpou