Finding optimal neural networks for land use classification
- 1 January 1998
- journal article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Geoscience and Remote Sensing
- Vol. 36 (1) , 337-341
- https://doi.org/10.1109/36.655348
Abstract
In this letter we present a fully automatic and computationally efficient algorithmbased on the Minimum Description Length Principle (MDL) for optimizing multilayer perceptronclassifiers. We demonstrate our method on the problem of multispectral Landsatimage classification. We compare our results with a hand designed multi-layer perceptronand a Gaussian maximum likelihood classifier where our method produces betterclassification accuracy with a smaller number of hidden units.1...Keywords
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