Abstract
A new learning algorithm based on a robust criterion is proposed that allows effective handling of outliers. The obtained results are confirmed by experimental comparison in the task of short-term electric load forecasting.
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Bodyanskiy, Y., Popov, S., Titov, M. (2010). Robust Learning Algorithm for Networks of Neuro-Fuzzy Units. In: Sobh, T. (eds) Innovations and Advances in Computer Sciences and Engineering. Springer, Dordrecht. https://doi.org/10.1007/978-90-481-3658-2_59
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DOI: https://doi.org/10.1007/978-90-481-3658-2_59
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