Comparison of two different PNN training approaches for satellite cloud data classification
Azimi-Sadjadi, Mahmood R.
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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.