'Institute of Electrical and Electronics Engineers (IEEE)'
Abstract
Includes bibliographical references.This paper presents a training algorithm for probabilistic neural networks (PNNs) 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.This work was supported by the DoD Center for Geosciences/Atmospheric Research (CG/AR) under Contract DAAL01-98-2-0078