title: Weight-value convergence of the SOM algorithm for discrete input.
abstract: Some insights on the convergence of the weight values of the self-organizing map (SOM) to a stationary state in the case of discrete input are provided. The convergence result is obtained by applying the Robbins-Monro algorithm and is applicable to input-output maps of any dimension.
authors.affiliation: Department of Electrical Engineering, Arizona State University, Tempe, AZ 85287, USA.
authors.forename: S
authors.initials: S
authors.lastname: Lin
authors.forename: J
authors.initials: J
authors.lastname: Si
mesh_terms: D000465:Algorithms; D001931:Brain Mapping; D007091:Image Processing, Computer-Assisted; D008433:Mathematics; D012044:Regression Analysis