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EUROGP
2004
Springer
170views Optimization» more  EUROGP 2004»
13 years 8 months ago
Comparing Hybrid Systems to Design and Optimize Artificial Neural Networks
Abstract. In this paper we conduct a comparative study between hybrid methods to optimize multilayer perceptrons: a model that optimizes the architecture and initial weights of mul...
Pedro A. Castillo Valdivieso, Maribel Garcí...
IWANN
2009
Springer
13 years 11 months ago
Design of a Snort-Based Hybrid Intrusion Detection System
J. Gómez, Consolación Gil, N. Padill...
ISNN
2007
Springer
13 years 11 months ago
Hybrid Systems and Artificial Immune Systems: Performances and Applications to Biomedical Research
In this paper we propose a comparative study of Artificial Neural Networks (ANN) and Artificial Immune Systems. Artificial Immune Systems (AIS) represent a novel paradigm in the fi...
Vitoantonio Bevilacqua, Cosimo G. de Musso, Filipp...
GECCO
2008
Springer
196views Optimization» more  GECCO 2008»
13 years 5 months ago
ADANN: automatic design of artificial neural networks
In this work an improvement of an initial approach to design Artificial Neural Networks to forecast Time Series is tackled, and the automatic process to design Artificial Neural N...
Juan Peralta, Germán Gutiérrez, Arac...
BMCBI
2006
146views more  BMCBI 2006»
13 years 4 months ago
Optimized Particle Swarm Optimization (OPSO) and its application to artificial neural network training
Background: Particle Swarm Optimization (PSO) is an established method for parameter optimization. It represents a population-based adaptive optimization technique that is influen...
Michael Meissner, Michael Schmuker, Gisbert Schnei...