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CEC
2005
IEEE
14 years 1 months ago
FPGA segmented channel routing using genetic algorithms
A genetic algorithm approach for segmented channel routing in field programmable gate arrays (FPGA's) is presented in this paper. The FPGA segmented channel routing problem (F...
Lipo Wang, Lei Zhou, Wen Liu
IBERAMIA
2004
Springer
14 years 29 days ago
Decomposing Ordinal Sums in Neural Multi-adjoint Logic Programs
The theory of multi-adjoint logic programs has been introduced as a unifying framework to deal with uncertainty, imprecise data or incomplete information. From the applicative part...
Jesús Medina, Enrique Mérida Caserme...
NIPS
1992
13 years 8 months ago
Explanation-Based Neural Network Learning for Robot Control
How can artificial neural nets generalize better from fewer examples? In order to generalize successfully, neural network learning methods typically require large training data se...
Tom M. Mitchell, Sebastian Thrun
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
GECCO
2007
Springer
212views Optimization» more  GECCO 2007»
14 years 1 months ago
A developmental model of neural computation using cartesian genetic programming
The brain has long been seen as a powerful analogy from which novel computational techniques could be devised. However, most artificial neural network approaches have ignored the...
Gul Muhammad Khan, Julian F. Miller, David M. Hall...