5 search results - page 1 / 1 » SEPA: Structure Evolution and Parameter Adaptation in Feed-F... |
GECCO
2003
Springer
13 years 10 months ago
2003
Springer
Abstract. In developing algorithms that dynamically changes the structure and weights of ANN (Artificial Neural Networks), there must be a proper balance between network complexit...
ERSA
2006
13 years 6 months ago
2006
- An intrinsic embedded online evolution system has been designed using Block-based neural networks and implemented on Xilinx VirtexIIPro FPGAs. The designed network can dynamicall...
GECCO
2007
Springer
13 years 11 months ago
2007
Springer
Adaptive representations allow evolution to explore the space of phenotypes by choosing the most suitable set of genotypic parameters. Although such an approach is believed to be ...
CEC
2009
IEEE
13 years 11 months ago
2009
IEEE
— Despite their success as optimization methods, evolutionary algorithms face many difficulties to design artifacts with complex structures. According to paleontologists, living...
IJCNN
2007
IEEE
13 years 11 months ago
2007
IEEE
— In this paper we provide experimental results and extensions to our previous theoretical findings concerning the combination of forecasts that have been diversified by three ...