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» Genetic Algorithms for the Design of Fuzzy Neural Networks
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IWANN
2011
Springer
12 years 10 months ago
A Preliminary Study on the Use of Fuzzy Rough Set Based Feature Selection for Improving Evolutionary Instance Selection Algorith
In recent years, the increasing interest in fuzzy rough set theory has allowed the definition of novel accurate methods for feature selection. Although their stand-alone applicati...
Joaquín Derrac, Chris Cornelis, Salvador Ga...
CORR
2004
Springer
81views Education» more  CORR 2004»
13 years 7 months ago
Optimizing genetic algorithm strategies for evolving networks
This paper explores the use of genetic algorithms for the design of networks, where the demands on the network fluctuate in time. For varying network constraints, we find the best...
Matthew J. Berryman, Andrew Allison, Derek Abbott
APIN
1999
143views more  APIN 1999»
13 years 7 months ago
Solving Electrical Distribution Problems Using Hybrid Evolutionary Data Analysis Techniques
Real-world electrical engineering problems can take advantage of the last Data Analysis methodologies. In this paper we will show that Genetic Fuzzy Rule-Based Systems and Genetic ...
Oscar Cordón, Francisco Herrera, Luciano S&...
GECCO
2004
Springer
234views Optimization» more  GECCO 2004»
14 years 28 days ago
A Generic Network Design for a Closed-Loop Supply Chain Using Genetic Algorithm
Recently much research has focused on both the supply chain and reverse logistics network design problem. The rapid progress in computer and network technology and the increasingly...
Eoksu Sim, Sungwon Jung, Haejoong Kim, Jinwoo Park
SBRN
2000
IEEE
13 years 12 months ago
Evolutionary Optimization of RBF Networks
One of the main obstacles to the widespread use of artijcial neural networks is the difJiculty of adequately define valuesfor their free parameters. This article discusses how Rad...
Estefane G. M. de Lacerda, Teresa Bernarda Ludermi...