DocumentCode :
3643838
Title :
A Front Line algorithm for error estimation in data sets with nonuniform sampling distribution
Author :
Daniel Andrzej Piętak;Jacek Wojciechowski;Paweł Jan Napiorkowski
Author_Institution :
Faculty of Electronics and Information Technology, Warsaw University of Technology, Poland
fYear :
2011
Firstpage :
210
Lastpage :
213
Abstract :
A new method for the heuristic error estimation, based on nonuniform sampling, is presented. The error is defined as a maximal allowable change of the particular parameter implying small (preset) change of the objective function value. The method is suited to the sampling obtained from a genetic algorithm. The study case is shown. Application to Coulomb Excitation experiments (nuclear physics) data analysis in multidimensional space is outlined.
Keywords :
"Genetic algorithms","Optimization","Error analysis","Shape","Data analysis","Accuracy","Algorithm design and analysis"
Publisher :
ieee
Conference_Titel :
Circuit Theory and Design (ECCTD), 2011 20th European Conference on
Print_ISBN :
978-1-4577-0617-2
Type :
conf
DOI :
10.1109/ECCTD.2011.6043319
Filename :
6043319
Link To Document :
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