Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Tales Lima Fonseca"'
Autor:
Tales Lima Fonseca, Leonardo Goliatt
Publikováno v:
Advances in Intelligent Systems and Computing ISBN: 9783030711863
ISDA
ISDA
This paper proposes a hybrid approach of Extreme Learning Machine with Backpropagation with adaptive activation functions for classification problems. In general, machine learning research seeks to find algorithms that can learn specific parameters t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fade5cd9e9017c32363e57ab89f2d571
https://doi.org/10.1007/978-3-030-71187-0_2
https://doi.org/10.1007/978-3-030-71187-0_2
Autor:
Leonardo Goliatt, Tales Lima Fonseca
Publikováno v:
Advances in Intelligent Systems and Computing ISBN: 9783030681326
This paper proposes an approach combining an Extreme Learning Machine based model with adaptive activation functions for regression problems. Research related to machine learning seeks to solve a given problem in the best possible way, generating inc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::964cba252459738085e9913eeac75064
https://doi.org/10.1007/978-3-030-68133-3_12
https://doi.org/10.1007/978-3-030-68133-3_12
Publikováno v:
Advances in Intelligent Systems and Computing ISBN: 9783030711863
ISDA
ISDA
This paper proposes an approach to predicting the monthly natural streamflow at the Cahora Bassa dam, Mozambique, combining a Genetic Algorithm and an Extreme Learning Machine. The model uses measurements of the past monthly river flow, rainfall, tem
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d7ff01959194154944244c700d454f5d
https://doi.org/10.1007/978-3-030-71187-0_122
https://doi.org/10.1007/978-3-030-71187-0_122
Autor:
Alfeu D. Martinho, Celso Bandeira de Melo Ribeiro, Tales Lima Fonseca, Leonardo Goliatt, Yulia Gorodetskaya
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030637095
BIOMA
BIOMA
This paper proposes a hybrid approach combining an Extreme Learning Machine and a Genetic Algorithm to predict the short-term streamflow at the Cahora Bassa dam, the largest hydroelectric power plant in southern Africa. To predict the streamflows sev
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7f9a06ee617f5e7c52fb2da4292f8263
https://doi.org/10.1007/978-3-030-63710-1_20
https://doi.org/10.1007/978-3-030-63710-1_20
Autor:
Yulia Gorodetskaya, Celso Bandeira de Melo Ribeiro, Leonardo Goliatt da Fonseca, Gisele Goulart Tavares, Tales Lima Fonseca
Publikováno v:
Revista Mundi Engenharia, Tecnologia e Gestão (ISSN: 2525-4782). 4
The short-term streamflow forecast is an important parameter in studies related to energy generation and the prediction of possible floods. Flowing through three Brazilian states, the Paraíba do Sul river is responsible for the supply and energy gen
Autor:
Yulia Gorodetskaya, Luciana Conceição Dias Campos, Gabriel Dias de Abreu, Tales Lima Fonseca, Letícia Florentino Pires, Leonardo Goliatt da Fonseca
Publikováno v:
Progress in Artificial Intelligence ISBN: 9783030302405
EPIA (1)
EPIA (1)
Water resources are essential for sustainable economic and social development, as well as be a vital element for the conservation of ecosystems and the life of all beings on our planet. On the other hand, natural and anthropic disasters from floods a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::be6d3ae6913da9c4d62a12964c6915b3
https://doi.org/10.1007/978-3-030-30241-2_43
https://doi.org/10.1007/978-3-030-30241-2_43
Publikováno v:
Mathematical Problems in Engineering, Vol 2018 (2018)
The Interior Epigraph Directions (IED) method for solving constrained nonsmooth and nonconvex optimization problem via Generalized Augmented Lagrangian Duality considers the dual problem induced by a Generalized Augmented Lagrangian Duality scheme an
Autor:
Luciana Conceição Dias Campos, Tales Lima Fonseca, Rodrigo Weber dos Santos, Luis Paulo da Silva, Leonardo Goliatt, Franciane Conceição Peters
Publikováno v:
Journal of Computational Interdisciplinary Sciences. 8
Autor:
Leonardo Goliatt da Fonseca, Egberto Pereira, Grasiele Regina Duarte, Tales Lima Fonseca, Camila Martins Saporetti
Publikováno v:
Revista de Informática Teórica e Aplicada; v. 25, n. 4 (2018); 43-56
Lithology identification, obtained through the analysis of several geophysical properties, has an important role in the process of characterization of oil reservoirs. The identification can be accomplished by direct and indirect methods, but these me
Publikováno v:
Procedings of The XXXVI Iberian Latin American Congress on Computational Methods in Engineering.
Resumo. Problemas de otimizacao sao comuns em diversas areas. Na engenharia estrutural, por exemplo, estes estao sendo modelados considerando complexidades que, ate entao, eram descartadas. Isso, com o intuito de simplificar as simulacoes durante o p