Home > Comparison of Unsupervised and Supervised Training of RBF Neural Networks. Case Study: Mapping of Contamination Data
 

Comparison of Unsupervised and Supervised Training of RBF Neural Networks. Case Study: Mapping of Contamination Data

Polishchuk, V. ; Kanevski, Mikhail

Published in:
Neural Computation 2000
Presented at:
Neural Computation 2000
Year:
2000
Keywords:
learning
Laboratories:
LIDIAP

Record appears in:
Scientific production and competences > STI - School of Engineering > IEL - Institute of Electrical Engineering > LIDIAP - L'IDIAP Laboratory
Scientific production and competences > Euler Center for Signal Processing
Conference Papers
Work produced at EPFL
Published



 Record created 2006-03-10, last modified 2018-03-17


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