On robust randomized neural networks for regression: a comprehensive review and evaluation
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DOI: 10.1007/s00521-020-04994-5
Abstract: Data from real-world regression problems are quite often contaminated with outliers. In order to efficiently handle such undesirable samples, robust parameter estimation methods have been incorporated into randomized neural network (RNN) models, usually replacing the… read more here.
Keywords: rnn models; neural networks; robust randomized; randomized neural ... See more keywords