Comparison of two different PNN training approaches for satellite cloud data classification
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Authors
Azimi-Sadjadi, Mahmood R., author
Tian, Bin, author
IEEE, publisher
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Abstract
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.
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Subject
probabilistic neural network
minimum classification error
maximum likelihood
cloud classification