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Angelo Luís Pagliosa

1 paper here

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  • first author1

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  • cs.NE1

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most citedObtaining Membership Functions from a Neuron Fuzzy System extended by Kohonen Network

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

collaborators

1 paper

cs.NE2005★ 1 cited

Obtaining Membership Functions from a Neuron Fuzzy System extended by Kohonen Network

Angelo Luis Pagliosa, Claudio Cesar de Sa, Fernando D. Sasse

This article presents the Neo-Fuzzy-Neuron Modified by Kohonen Network (NFN-MK), an hybrid computational model that combines fuzzy system technique and artificial neural networks.…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.