1029 search results - page 12 / 206 » Neural Networks and Complexity Theory |
RSCTC
2000
Springer
15 years 1 months ago
2000
Springer
This paper introduces a neural network architecture based on rough sets and rough membership functions. The neurons of such networks instantiate approximate reasoning in assessing ...
ICANN
2010
Springer
14 years 10 months ago
2010
Springer
Abstract. In this paper we present a Reinforcement Learning (RL) approach with the capability to train neural adaptive controllers for complex control problems without expensive on...
MICAI
2007
Springer
15 years 3 months ago
2007
Springer
Abstract. In this paper we utilize information theory to study the impact in learning performance of various motivation and environmental configurations. This study is done within...
GECCO
2006
Springer
15 years 1 months ago
2006
Springer
A genomic computing network is a variant of a neural network for which a genome encodes all aspects, both structural and functional, of the network. The genome is evolved by a gen...
IWANN
2005
Springer
15 years 3 months ago
2005
Springer
The generalization ability of different sizes architectures with one and two hidden layers trained with backpropagation combined with early stopping have been analyzed. The depend...