1029 search results - page 34 / 206 » Neural Networks and Complexity Theory |
78
Voted
NIPS
1993
14 years 11 months ago
1993
This paper introduces GNARL, an evolutionary program which induces recurrent neural networks that are structurally unconstrained. In contrast to constructive and destructive algor...
60
Voted
IJCNN
2000
IEEE
15 years 2 months ago
2000
IEEE
The choice of transfer functions may strongly influence complexity and performance of neural networks used in classification and approximation tasks. A taxonomy of activation an...
75
Voted
AUTOMATICA
2006
14 years 9 months ago
2006
Controlling non-affine non-linear systems is a challenging problem in control theory. In this paper, we consider adaptive neural control of a completely non-affine pure-feedback s...
ICIC
2007
Springer
15 years 3 months ago
2007
Springer
We suggest to apply the hybrid neural network based on multi layer perceptron (MLP) and adaptive resonance theory (ART-2) for solving of navigation task of mobile robots. This appr...
HIS
2008
14 years 11 months ago
2008
Artificial Neural Networks for online learning problems are often implemented with synaptic plasticity to achieve adaptive behaviour. A common problem is that the overall learning...