title: Prediction limit estimation for neural network models.
abstract: A novel method for estimation of prediction limits for global and local approximating neural networks is presented. The method partitions the input space using self-organizing feature maps to introduce the concept of local neighborhoods, and calculates limits that indicate the extent to which one can rely on predictions for making future decisions.
authors.affiliation: Industrial and Manufacturing Engineering Department, North Dakota State University, Fargo, ND 58105, USA.
authors.forename: R B
authors.initials: RB
authors.lastname: Chinman
authors.forename: J
authors.initials: J
authors.lastname: Ding