most citedThe Learning of Fuzzy Cognitive Maps With Noisy Data: A Rapid and Robust Learning Method With Maximum Entropy

38 citations · 38 across the 1 of their papers we have counts for

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cs.LG2019★ 38 cited

The Learning of Fuzzy Cognitive Maps With Noisy Data: A Rapid and Robust Learning Method With Maximum Entropy

Guoliang Feng, Wei Lu, Witold Pedrycz +2

Numerous learning methods for fuzzy cognitive maps (FCMs), such as the Hebbian-based and the population-based learning methods, have been developed for modeling and simulating dyna…