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IJON
2006
111views more  IJON 2006»
13 years 9 months ago
Applications of multi-objective structure optimization
We present an application of multi-objective evolutionary optimization of feed-forward neural networks (NN) to two real world problems, car and face classification. The possibly co...
Alexander Gepperth, Stefan Roth
JOT
2010
125views more  JOT 2010»
13 years 7 months ago
Enhancing NetBeans with Transparent Fault Tolerance Using Meta-Level Architecture
In component-based systems, fault-tolerance concerns are typically handled by manually programmed fault containers. The purpose of fault containers is to prevent error propagation...
Martin Rytter, Bo Nørregaard Jørgens...
ICANN
2010
Springer
13 years 7 months ago
Time Series Forecasting by Evolving Artificial Neural Networks Using "Shuffle", Cross-Validation and Ensembles
Accurate time series forecasting are important for several business, research, and application of engineering systems. Evolutionary Neural Networks are particularly appealing becau...
Juan Peralta, Germán Gutiérrez, Arac...
GECCO
2006
Springer
162views Optimization» more  GECCO 2006»
14 years 28 days ago
Evolutionary learning with kernels: a generic solution for large margin problems
In this paper we embed evolutionary computation into statistical learning theory. First, we outline the connection between large margin optimization and statistical learning and s...
Ingo Mierswa
IPPS
2007
IEEE
14 years 3 months ago
Time Series Forecasting by means of Evolutionary Algorithms
Many physical and artificial phenomena can be described by time series. The prediction of such phenomenon could be as complex as interesting. There are many time series forecasti...
Cristóbal Luque del Arco-Calderón, J...