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KI
2007
Springer
14 years 2 months ago
A General Framework for Encoding and Evolving Neural Networks
Abstract. In this paper we present a novel general framework for encoding and evolving networks called Common Genetic Encoding (CGE) that can be applied to both direct and indirect...
Yohannes Kassahun, Jan Hendrik Metzen, Jose de Gea...
KYOTODL
2000
146views more  KYOTODL 2000»
13 years 9 months ago
Digital Libraries - Classification and Visualization Techniques
The constantly increasing flood of available textual information demands for the devlopment of powerful tools to organize, search, and explore these document libraries. Within the...
Dieter Merkl, Andreas Rauber
GECCO
2007
Springer
182views Optimization» more  GECCO 2007»
14 years 3 days ago
Stochastic training of a biologically plausible spino-neuromuscular system model
A primary goal of evolutionary robotics is to create systems that are as robust and adaptive as the human body. Moving toward this goal often involves training control systems tha...
Stanley Phillips Gotshall, Terence Soule
IWINAC
2005
Springer
14 years 1 months ago
Estimation of Fuel Moisture Content Using Neural Networks
Fuel moisture content (FMC) is one of the variables that drive fire danger. Artificial Neural Networks (ANN) were tested to estimate FMC by calculating the two variables implicat...
David Riaño, S. L. Ustin, L. Usero, Miguel ...
GECCO
2009
Springer
122views Optimization» more  GECCO 2009»
14 years 2 months ago
Evolving symmetric and modular neural networks for distributed control
Problems such as the design of distributed controllers are characterized by modularity and symmetry. However, the symmetries useful for solving them are often difficult to determ...
Vinod K. Valsalam, Risto Miikkulainen