Designing experiments for single output multilayer perceptrons

DOI10.1080/00949659908811983zbMath0944.62126OpenAlexW2058828072MaRDI QIDQ4949762

Lisa M. Belue, Kenneth W. jun. Bauer

Publication date: 24 July 2000

Published in: Journal of Statistical Computation and Simulation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00949659908811983

zbMATH Keywords

neural networksmultilayer perceptron

Mathematics Subject Classification ID

Optimal statistical designs (62K05) Applications of statistics in engineering and industry; control charts (62P30) General nonlinear regression (62J02) Applications of statistics to physics (62P35)

Cites Work

• Unnamed Item
• Unnamed Item
• DESIGN OF EXPERIMENTS IN NON-LINEAR SITUATIONS
• D-Optimality for Regression Designs: A Review
• An Algorithm for the Construction of "D-Optimal" Experimental Designs
• Neural networks and physical systems with emergent collective computational abilities.
• The Design of Experiments for Parameter Estimation
• On search directions for minimization algorithms

This page was built for publication: Designing experiments for single output multilayer perceptrons