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» Programming backgammon using self-teaching neural nets
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IBERAMIA
2004
Springer
14 years 22 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...
GECCO
2007
Springer
178views Optimization» more  GECCO 2007»
14 years 1 months ago
Coevolution of intelligent agents using cartesian genetic programming
A coevolutionary competitive learning environment for two antagonistic agents is presented. The agents are controlled by a new kind of computational network based on a compartment...
Gul Muhammad Khan, Julian Francis Miller, David M....
COR
2006
99views more  COR 2006»
13 years 7 months ago
Artificial neural networks and multicriterion analysis for sustainable irrigation planning
The objective of the present paper is to select the best compromise irrigation planning strategy for the case study of Jayakwadi irrigation project, Maharashtra, India. Four-phase...
K. Srinivasa Raju, D. Nagesh Kumar, Lucien Duckste...
GECCO
2009
Springer
128views Optimization» more  GECCO 2009»
14 years 1 months ago
Neural network ensembles for time series forecasting
This work provides an analysis of using the evolutionary algorithm EPNet to create ensembles of artificial neural networks to solve a range of forecasting tasks. Several previous...
Victor M. Landassuri-Moreno, John A. Bullinaria
VIZSEC
2004
Springer
14 years 21 days ago
Visualizing windows executable viruses using self-organizing maps
This paper concentrates on visualizing computer viruses without using virus specific signature information as a prior stage of the very important problem of detecting computer vi...
InSeon Yoo