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FUZZY GRAPHS IN FUZZY NEURAL NETWORKS
(Universidad Católica del Norte, Departamento de Matemáticas, 2009)
Prognóstico de falhas utilizando Neo-Fuzzy-Neuron com aprendizado on-line
(Universidade Federal de Minas GeraisBrasilENGENHARIA - ESCOLA DE ENGENHARIAPrograma de Pós-Graduação em Engenharia ElétricaUFMG, 2020-11-12)
Intelligent systems for fault prognostics in industries have brought important contributions in terms of safety and economy, making them indispensable, and motivating more and more research in the area. In prognostics ...
A fast learning algorithm for evolving neo-fuzzy neuron
(Elsevier Science BvAmsterdamHolanda, 2014)
Implicative fuzzy associative memories
(Ieee-inst Electrical Electronics Engineers IncPiscatawayEUA, 2006)
Prediction interval methodology based on fuzzy numbers and its extension to fuzzy systems and neural networks
(Elsevier, 2019)
Prediction interval modelling has been proposed in the literature to characterize uncertain phenomena and provide useful information from a decision-making point of view. In most of the reported studies, assumptions about ...
MODELLING AND CONTROL OF ERSW PROCESSES BY NEURONAL NETWORK
(KING FAHD UNIV PETROLEUM MINERALS, 2009)
A study on the use of artificial intelligence (AI) techniques for the modelling and subsequent control of an electric resistance spot welding process (ERSW) is presented. The ERSW process is characterized by the coupling ...