Classification of imbalanced remote-sensing data by neural networks
نویسندگان
چکیده
منابع مشابه
Classification of imbalanced remote-sensing data by neural networks
The multilayer perceptron neural network has proved to be a very effective tool for the classification of remote-sensing images. Unfortunately, the training of such a classifier by using data with very different a priori class probabilities Ž . imbalanced data is very slow. This paper describes a learning technique aimed at speeding up the training of a multilayer perceptron when applied to imb...
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ژورنال
عنوان ژورنال: Pattern Recognition Letters
سال: 1997
ISSN: 0167-8655
DOI: 10.1016/s0167-8655(97)00109-8