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ESANN
2003
13 years 10 months ago
Extraction of fuzzy rules from trained neural network using evolutionary algorithm
This paper presents our approach to the rule extraction problem from trained neural network. A method called REX is briefly described. REX acquires a set of fuzzy rules using an ev...
Urszula Markowska-Kaczmar, Wojciech Trelak
ICAISC
2010
Springer
14 years 2 months ago
An Evolutionary Algorithm for Global Induction of Regression Trees
In the paper a new evolutionary algorithm for induction of univariate regression trees is proposed. In contrast to typical top-down approaches it globally searches for the best tre...
Marek Kretowski, Marcin Czajkowski
AAAI
2000
13 years 10 months ago
MarketSAT: An Extremely Decentralized (but Really Slow) Algorithm for Propositional Satisfiability
We describe MarketSAT, a highly decentralized, marketbased algorithm for propositional satisfiability. The approach is based on a formulation of satisfiability as production on a ...
William E. Walsh, Michael P. Wellman
IPM
1998
111views more  IPM 1998»
13 years 8 months ago
Crossover Improvement for the Genetic Algorithm in Information Retrieval
- Genetic algorithms (GAs) search for good solutions to a problem by operations inspired from the natural selection of living beings. Among their many uses, we can count informatio...
Dana Vrajitoru
ISMIS
2011
Springer
13 years 3 days ago
An Evolutionary Algorithm for Global Induction of Regression Trees with Multivariate Linear Models
In the paper we present a new evolutionary algorithm for induction of regression trees. In contrast to the typical top-down approaches it globally searches for the best tree struct...
Marcin Czajkowski, Marek Kretowski