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DTSTART;VALUE=DATE:20241029T110000
DTEND;VALUE=DATE:20241029T110000
UID:16028@agenda.unifr.ch
DESCRIPTION:Fuzzy Cognitive Maps (FCMs) are a type of recurrent neural network that consists of neural concepts and causal relations. FCMs allow decision-makers to analyze the interdependencies and causal relationships between different variables in a system, and also allow researchers and practitioners to classify, simulate and predict.\nFCMs are useful for building more interpretable models than most state-of-the-art models. But it is also a fact that the interpretability of FCMs causes, as a counterpart, relatively higher errors than other models. In this lecture recent improvements that increase the accuracy and keep the explain ability are shown and explained. \nThe work to present has been a collaboration with researchers from Hasselt University (Belgium), Tilburg university (Netherlands) and Universidad Central Marta\nAbreu de Las Villas (Cuba).\n
SUMMARY:On Fuzzy Cognitive Maps and its Applications 
CATEGORIES:Colloque / Congrès / Forum
LOCATION:PER 21\, E040\, Bd de Pérolles 90\, 1700 Fribourg
URL;VALUE=URI:https://agenda.unifr.ch/e/fr/16028
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