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Robust learning algorithm for networks of neuro-fuzzy units

Innovations and Advances in Computer Sciences and Engineering (2010) 343-346
DOI: 10.1007/978-90-481-3658-2_59
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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. © Springer Science+Business Media B.V. 2010.

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Bodyanskiy, Y., Popov, S., & Titov, M. (2010). Robust learning algorithm for networks of neuro-fuzzy units. In Innovations and Advances in Computer Sciences and Engineering (pp. 343–346). https://doi.org/10.1007/978-90-481-3658-2_59

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