Zobrazeno 1 - 10
of 13
pro vyhledávání: '"RENAN PIAZZAROLI FINOTTI AMARAL"'
[pt] Os sistemas de inferência fuzzy são técnicas de aprendizado de máquina que possuem a capacidade de modelar incertezas matematicamente. Eles são divididos em sistemas de inferências fuzzy tipo-1 e fuzzy tipo-2. O sistema de inferência fuzz
Publikováno v:
Neurocomputing. 411:149-163
This paper proposes an extension of the type-1 and singleton fuzzy logic system for dealing with multiclass classification problems. The proposed extension enables a fuzzy classifier to generate more than one output, thereby avoiding the use of binar
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b15dc23d508795763e7e1bd373a2b7fb
https://doi.org/10.1016/j.neucom.2020.05.052
https://doi.org/10.1016/j.neucom.2020.05.052
Publikováno v:
Repositório Institucional da PUC-RIO (Projeto Maxwell)
Pontifícia Universidade Católica do Rio de Janeiro (PUC-RIO)
instacron:PUC_RIO
Pontifícia Universidade Católica do Rio de Janeiro (PUC-RIO)
instacron:PUC_RIO
PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO CONSELHO NACIONAL DE DESENVOLVIMENTO CIENTÍFICO E TECNOLÓGICO Os sistemas de inferência fuzzy são técnicas de aprendizado de máquina que possuem a capacidade de modelar incertezas matematicam
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ed9a02c15df6f325faef81a45be5f8cc
https://www.maxwell.vrac.puc-rio.br/colecao.php?strSecao=resultado&nrSeq=55169@1
https://www.maxwell.vrac.puc-rio.br/colecao.php?strSecao=resultado&nrSeq=55169@1
Publikováno v:
Neurocomputing. 355:57-70
This work introduces the type-1 and singleton fuzzy logic system trained by scaled conjugate gradient method and its usage for binary classification problems. Aiming to improve the performance of the training procedure, we propose the multiplication
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::327c61a66b353c1315000f7f4b4c7724
https://doi.org/10.1016/j.neucom.2019.05.002
https://doi.org/10.1016/j.neucom.2019.05.002
Autor:
Moises V. Ribeiro, Marley M. B. R. Vellasco, Eduardo Pestana de Aguiar, Renan Piazzaroli Finotti Amaral
Publikováno v:
Electric Power Systems Research. 158:195-206
A switch machine is an electromechanical device that allows railway trains to be guided from one track to another. Among all possible faults that can occur in a switch machine, the three mains ones are: lack of lubrication, lack of adjustment and mal
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e4e2fb5592dd0aa99e300f97a6eea000
https://doi.org/10.1016/j.epsr.2017.12.018
https://doi.org/10.1016/j.epsr.2017.12.018
Autor:
Rafaela Abreu Campos, Renan Piazzaroli Finotti Amaral, Nielson Soares, Moisés Luiz Lagares Junior, Leonardo Goliatt da Fonseca, Eduardo Pestana de Aguiar
Publikováno v:
Journal of the Brazilian Society of Mechanical Sciences and Engineering. 41
The short-circuit gas metal arc welding has been continuously studied over the years, due to its important role in manufacturing processes. Concerning the process, many kinds of research are carried out aiming to understand the influence of the shiel
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0f1082ed13cfaf2bddee2fbb8a1b75c1
https://doi.org/10.1007/s40430-019-1607-0
https://doi.org/10.1007/s40430-019-1607-0
Autor:
Eduardo Pestana de Aguiar, Pedro Henrique Souza Calderano, Ricardo Tanscheit, Mateus Gheorghe de Castro Ribeiro, Renan Piazzaroli Finotti Amaral, Marley M. B. R. Vellasco
Publikováno v:
Journal of the Brazilian Society of Mechanical Sciences and Engineering. 41
The gas turbine is the most common engine used in the majority of commercial aircraft. Regarding the economic and social importance of aviation, methods that can identify faults in gas turbines with precision are relevant. Aiming to detect and classi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0156b77e26a1490e49cca08aac6d6fed
https://doi.org/10.1007/s40430-019-1567-4
https://doi.org/10.1007/s40430-019-1567-4
Autor:
Ivan F. M. Menezes, Eduardo Pestana de Aguiar, Rafaela Abreu Campos, Leonardo Goliatt da Fonseca, Moisés Luiz Lagares, Renan Piazzaroli Finotti Amaral
Publikováno v:
FUZZ-IEEE
The short circuit gas metal arc welding is widely used in the industry, having an important role in manufacturing processes. In order to achieve high-quality control levels in weldments, researches are carried out aiming to find a way to monitor the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2a4041fc2adfdabc4a134028f895ecb1
https://doi.org/10.1109/fuzz-ieee.2018.8491599
https://doi.org/10.1109/fuzz-ieee.2018.8491599
Autor:
Ricardo Tanscheit, Ivan F. M. Menezes, Eduardo Pestana de Aguiar, Renan Piazzaroli Finotti Amaral, Pedro Henrique Souza Calderano, Marley M. B. R. Vellasco, Mateus Gheorghe de Castro Ribeiro
Publikováno v:
FUZZ-IEEE
Gas turbines are the most common engine used in the majority of commercial aircraft. Due to its criticality, to detect and classify faults in a gas turbine is extremely important. In this work, a type-1 and singleton fuzzy logic system trained by ste
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0606d16a4e315a9ed7af7060520dd0a8
https://doi.org/10.1109/fuzz-ieee.2018.8491444
https://doi.org/10.1109/fuzz-ieee.2018.8491444
Autor:
Diego F. Fabri, Fernando Marques de Almeida Nogueira, Moises V. Ribeiro, Pedro C. G. da S. Vellasco, Ricardo Tanscheit, José Geraldo Ferreira, Marley M. B. R. Vellasco, Sérgio C. de A. Rossignoli, Renan Piazzaroli Finotti Amaral, Eduardo Pestana de Aguiar
Publikováno v:
Neural Computing and Applications. 27:1175-1189
This paper discusses and analyzes the performance of a technique for classifying possible faults (lack of lubrication, lack of adjustment and malfunction of a component) that can occur in an electromechanical switch machine, which is an equipment use
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fb10df665708fde09dc6b8ec24f8e191
https://doi.org/10.1007/s00521-015-1917-9
https://doi.org/10.1007/s00521-015-1917-9