1029 search results - page 35 / 206 » Neural Networks and Complexity Theory |
75
Voted
CADE
2000
Springer
15 years 2 months ago
2000
Springer
Abstract. The little theories method, in which mathematical reasoning is distributed across a network of theories, is a powerful technique for describing and analyzing complex syst...
FPL
2008
Springer
14 years 11 months ago
2008
Springer
FPGA devices have witnessed popularity in their use for the rapid prototyping of biological Spiking Neural Network (SNNs) applications, as they offer the key requirement of reconf...
ICCV
2009
IEEE
14 years 7 months ago
2009
IEEE
The use of Mercer kernel methods in statistical learning theory provides for strong learning capabilities, as seen in kernel principal component analysis and support vector machin...
CCIA
2006
Springer
15 years 1 months ago
2006
Springer
In this paper, we use a massive modular architecture for the generation of complex behaviours in complex robots within the evolutionary robotics framework. We define two different ...
ESANN
2004
14 years 11 months ago
2004
The way information is represented and processed in a neural network may have important consequences on its computational power and complexity. Basically, information representatio...