Comparison of two different PNN training approaches for satellite cloud data classification.
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.
Tian
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B
Department of Electrical and Computer Engineering, Colorado State University, Fort Collins, CO 80523-1373, USA.
Azimi-Sadjadi
M R
MR