1029 search results - page 15 / 206 » Neural Networks and Complexity Theory |
IJCNN
2006
IEEE
15 years 5 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 4 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...
IEEEICCI
2003
IEEE
15 years 5 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...
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IJON
2008
14 years 10 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
15 years 1 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...