An Improved Method using RBF Neural Networks to Speed up Optimization Algorithms

The paper presents a method using Radial Basis Function (RBF) neural networks to speed up deterministic search algorithms used for the optimization of superconducting magnets for the LHC accelerator project at CERN. The optimization of the iron yoke of the main LHC dipoles requires a number of numer...

Descripción completa

Detalles Bibliográficos
Autores principales: Aleksa, Martin, Bazan, M, Russenschuck, Stephan
Lenguaje:eng
Publicado: 2001
Materias:
Accelerators and Storage Rings
Acceso en línea:http://cds.cern.ch/record/517565

Internet

http://cds.cern.ch/record/517565

Ejemplares similares