Azimi-Sadjadi, Mahmood R., authorTian, Bin, authorIEEE, publisher2007-01-032007-01-032001Tian, Bin and Mahmood R. Azimi-Sadjadi, Comparison of Two Different PNN Training Approaches for Satellite Cloud Data Classification, IEEE Transactions on Neural Networks 12, no. 1 (January 2001): 164-168.http://hdl.handle.net/10217/926This 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.born digitalarticleseng©2001 IEEE.Copyright and other restrictions may apply. User is responsible for compliance with all applicable laws. For information about copyright law, please see https://libguides.colostate.edu/copyright.probabilistic neural networkminimum classification errormaximum likelihoodcloud classificationComparison of two different PNN training approaches for satellite cloud data classificationText