title: A modified LAMSTAR neural network and its applications.
abstract: This paper describes a modification of the LArge Memory STorage And Retrieval (LAMSTAR) neural network. The purpose of the modification is to allow rare events a larger role in decision-making when they are strongly biased towards a particular decision. As a by-product, the modification also permits the introduction of a confidence measure. This measure allows comparison across different network inputs so that the user may choose the "best" solution. The authors have applied the modified LAMSTAR network to a financial forecasting problem.
authors.affiliation: Department of Electrical and Computer Engineering, University of Illinois, Chicago, IL 60607, USA. nschne2@uic.edu
authors.forename: Nathan C
authors.initials: NC
authors.lastname: Schneider
authors.forename: Daniel
authors.initials: D
authors.lastname: Graupe