title: Comparison of two different PNN training approaches for satellite cloud data classification.
abstract: Presents a training algorithm for probabilistic neural networks (PNN) using the minimum classification error (MCE) criterion. A comparison is made between the MCE training scheme and the widely used maximum likelihood (ML) learning on a cloud classification problem using satellite imagery data.
authors.affiliation: Department of Electrical and Computer Engineering, Colorado State University, Fort Collins, CO 80523-1373, USA.
authors.forename: B
authors.initials: B
authors.lastname: Tian
authors.forename: M R
authors.initials: MR
authors.lastname: Azimi-Sadjadi