Optimum tuning parameters for Encapsulated Evolution Strategies : Results for a nonlinear regression problem
- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- Extent
-
Online-Ressource
- Language
-
Englisch
- Bibliographic citation
-
Reihe Computational Intelligence ; 42
- Event
-
Veröffentlichung
- (where)
-
Dortmund
- (who)
-
Universitätsbibliothek Dortmund
- (when)
-
2004
- Contributor
-
Geyer, H.
Kracht, C.
Schulz, S.
Ulbig, P.
Sonderforschungsbereich Design und Management Komplexer Technischer Prozesse und Systeme mit Methoden der Computational Intelligence
- Handle
-
2003/5349
- URN
-
urn:nbn:de:101:1-201605122029
- Rights
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
25.03.2025, 1:44 PM CET
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Geyer, H.
- Kracht, C.
- Schulz, S.
- Ulbig, P.
- Sonderforschungsbereich Design und Management Komplexer Technischer Prozesse und Systeme mit Methoden der Computational Intelligence
- Universitätsbibliothek Dortmund
Time of origin
- 2004
Other Objects (12)
Optimum exact designs for polynomial regression
Tunings : for 2 Violins; Tunings-Mix (String Quartet); Tunings for Viola; Tunings for Cello
Optimal Designs for a Class of Nonlinear Regression Models
Optimal designs for estimating the slope in nonlinear regression
Optimal designs for a class of nonlinear regression models
Tuning search algorithms for real-world applications : a regression tree based approach
Automated Tuning of Nonlinear Kalman Filters for Optimal Trajectory Tracking Performance of AUVs
Optimal designs for nonlinear regression models with respect to non-informative priors
Maximin and Bayesian Optimal Designs for Linear and Non-Linear Regression Models
Maximin and Bayesian optimal designs for linear and non-linear regression models
Statistical tools for nonlinear regression : a practical guide with S-PLUS examples
Optimum designs for multi-factor models
Optimum exact designs for polynomial regression
Tunings : for 2 Violins; Tunings-Mix (String Quartet); Tunings for Viola; Tunings for Cello
Optimal Designs for a Class of Nonlinear Regression Models
Optimal designs for estimating the slope in nonlinear regression
Optimal designs for a class of nonlinear regression models
Tuning search algorithms for real-world applications : a regression tree based approach
Automated Tuning of Nonlinear Kalman Filters for Optimal Trajectory Tracking Performance of AUVs
Optimal designs for nonlinear regression models with respect to non-informative priors
Maximin and Bayesian Optimal Designs for Linear and Non-Linear Regression Models
Maximin and Bayesian optimal designs for linear and non-linear regression models
Statistical tools for nonlinear regression : a practical guide with S-PLUS examples
Optimum designs for multi-factor models
Optimum exact designs for polynomial regression
Tunings : for 2 Violins; Tunings-Mix (String Quartet); Tunings for Viola; Tunings for Cello
Optimal Designs for a Class of Nonlinear Regression Models
Optimal designs for estimating the slope in nonlinear regression
Optimal designs for a class of nonlinear regression models
Tuning search algorithms for real-world applications : a regression tree based approach
Automated Tuning of Nonlinear Kalman Filters for Optimal Trajectory Tracking Performance of AUVs
Optimal designs for nonlinear regression models with respect to non-informative priors
Maximin and Bayesian Optimal Designs for Linear and Non-Linear Regression Models
Maximin and Bayesian optimal designs for linear and non-linear regression models
Statistical tools for nonlinear regression : a practical guide with S-PLUS examples