1029 search results - page 15 / 206 » Neural Networks and Complexity Theory |
74
Voted
IJCNN
2006
IEEE
15 years 3 months ago
2006
IEEE
— This paper shows the advantage of using neural network modularity over conventional learning schemes to approximate complex functions. Indeed, it is difficult for artificial ...
IJCNN
2000
IEEE
15 years 2 months ago
2000
IEEE
A self-organizing neural network for learning and recall of complex temporal sequences is proposed. we consider a single sequence with repeated items, or several sequences with a c...
73
Voted
IEEEICCI
2003
IEEE
15 years 2 months ago
2003
IEEE
This paper describes a system capable of classifying stochastic, self-affine, nonstationary signals produced by nonlinear systems. The classification and analysis of these signals...
106
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IJON
2008
14 years 8 months ago
2008
This article depicts the approach used to build the Topos application, a simulation of two-wheel robots able to discern real complex sounds. Topos is framed in the nouvelle concep...
ESANN
2003
14 years 11 months ago
2003
Abstract. This paper considers the general problem of function estimation with a modular approach of neural computing. We propose to use functionally independent subnetworks to lea...