231 search results - page 4 / 47 » Using Neural Nets to Estimate Evolutionary Parameters |
GECCO
2005
Springer
14 years 26 days ago
2005
Springer
This article describes a mathematical framework for characterizing cooperativity in complex systems subject to evolutionary pressures. This framework uses three foundational compo...
IJCNN
2000
IEEE
13 years 11 months ago
2000
IEEE
In the eld of arti cial evolution creating methods to evolve neural networks is an important goal. But how to encode the structure and properties of the neural network in the geno...
EPIA
2003
Springer
14 years 17 days ago
2003
Springer
Abstract. One of the most influential factors in the quality of the solutions found by an evolutionary algorithm is the appropriateness of the fitness function. Specifically in ...
HIS
2001
13 years 8 months ago
2001
Selection of the topology of a neural network and correct parameters for the learning algorithm is a tedious task for designing an optimal artificial neural...
GECCO
2008
Springer
13 years 8 months ago
2008
Springer
In this work an improvement of an initial approach to design Artificial Neural Networks to forecast Time Series is tackled, and the automatic process to design Artificial Neural N...