Application-driven parameter tuning methodology for dynamic neural field equations - CentraleSupélec Access content directly
Conference Papers Year : 2009

Application-driven parameter tuning methodology for dynamic neural field equations

Lucian Alecu
Hervé Frezza-Buet

Abstract

In this paper, a method is introduced in order to qualify the performance of dynamic neural fields (DNF). The method is applied to Amari's DNF equations, in order to drive the tuning of its free parameters. An original evaluation procedure is presented, and then applied to some input evolution scenarios. Such scenarios define an applicative context, for which the parameters with the lowest evaluation are optimal.

Dates and versions

hal-00439332 , version 1 (07-12-2009)

Identifiers

Cite

Lucian Alecu, Hervé Frezza-Buet. Application-driven parameter tuning methodology for dynamic neural field equations. 16th International Conference on Neural Information Processing - ICONIP 2009, Dec 2009, Bangkok, Thailand. pp.135-142, ⟨10.1007/978-3-642-10677-4_15⟩. ⟨hal-00439332⟩
95 View
0 Download

Altmetric

Share

Gmail Facebook X LinkedIn More