A Front Line algorithm for error estimation in data sets with nonuniform sampling distribution

Autor:	Jacek Wojciechowski, Pawel Napiorkowski, Daniel Andrzej Pietak
Rok vydání:	2011
Předmět:	Distribution (mathematics) Heuristic Genetic algorithm Nonuniform sampling Sampling (statistics) Value (computer science) Algorithm design Coulomb excitation Algorithm Mathematics
Zdroj:	ECCTD
Popis:	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.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::406ecf39aa974d3519955b3c84e11416 https://doi.org/10.1109/ecctd.2011.6043319 Zobrazit plný text záznamu