Comparison of two different PNN training approaches for satellite cloud data classification Tian, Bin ; Azimi-Sadjadi, Mahmood R. "This work was supported by the DoD Center for Geosciences/Atmospheric Research (CG/AR) under Contract DAAL01-98-2-0078." 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. Colorado State University. Libraries 2001 text ; image application/pdf ECEmra00008.pdf FACFECEN100488ARTI eng c2001 IEEE
Comparison of two different PNN training approaches for satellite cloud data classification
Tian, Bin ; Azimi-Sadjadi, Mahmood R.
"This work was supported by the DoD Center for Geosciences/Atmospheric Research (CG/AR) under Contract DAAL01-98-2-0078."
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.
Colorado State University. Libraries
2001
text ; image
application/pdf
ECEmra00008.pdf
FACFECEN100488ARTI
eng
c2001 IEEE