Zobrazeno 1 - 10
of 43
pro vyhledávání: '"LUIZ BIONDI NETO"'
Autor:
LUIZ BIONDI NETO
[pt] O presente trabalho investiga a aplicação de um sistema híbrido baseado em Redes Neurais Artificiais (RNAs) e Sistemas Especialistas (SE) na detecção e diagnóstico de falhas em redes elétricas. A pesquisa consistiu de três partes princip
Autor:
LUIZ BIONDI NETO
Publikováno v:
Repositório Institucional da PUC_RIOPontifícia Universidade Católica do Rio de JaneiroPUC_RIO.
UNIVERSIDADE DO ESTADO DO RIO DE JANEIRO
O presente trabalho investiga a aplicação de um sistema híbrido baseado em Redes Neurais Artificiais (RNAs) e Sistemas Especialistas (SE) na detecção e diagnóstico de falhas em redes elétricas. A p
O presente trabalho investiga a aplicação de um sistema híbrido baseado em Redes Neurais Artificiais (RNAs) e Sistemas Especialistas (SE) na detecção e diagnóstico de falhas em redes elétricas. A p
Autor:
Francisco José da Cunha Pires Soeiro, Fran Sérgio Lobato, Valder, Cesar Costapinto Santana, Luiz Biondi Neto, Jader Lugon Junior, Junior Steffen, Antônio José da Silva Neto
Publikováno v:
Simulated Annealing, Theory with Applications
6.1 Radiative Transfer 6.1.1 Estimation of { ï´ 0 , ï· , ï²1 , ï² 2 } using LM-SA combination A combination of SA (global optimization method) and LM (local optimization method) was used to solve the inverse radiative transfer problem
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9317075ea9582208aee2f85d603e8151
http://www.intechopen.com/articles/show/title/application-of-simulated-annealing-and-hybrid-methods-in-the-solution-of-inverse-heat-and-mass-trans
http://www.intechopen.com/articles/show/title/application-of-simulated-annealing-and-hybrid-methods-in-the-solution-of-inverse-heat-and-mass-trans
Autor:
Luis Chiganer, Luiz Biondi Neto, Elias Restum Antonio, Fabiano S. Oliveira, Vincenzo de Roberto Junior, Marcos Pereira Estellita Lins, Fernando Hideo Fukuda
Publikováno v:
Anais do 5. Congresso Brasileiro de Redes Neurais.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::23a73626ea478b4cd45bb47f9998472a
https://doi.org/10.21528/cbrn2001-069
https://doi.org/10.21528/cbrn2001-069
Autor:
J. C. C. B. S. de Mello, Lidia Angulo Meza, A.J.S. Femandes, Eliane Gonçalves Gomes, Luiz Biondi Neto
Publikováno v:
IEEE Latin America Transactions. 6:153-161
The main goal of this paper is to measure the efficiency in converting energy use in peoplepsilas earnings for some Rio de Janeiro municipalities, Brazil. We used CCR and BCC classical data envelopment analysis (DEA) models, with one input (per capit
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::203e04c0a22bdad948743a08e05b42cf
https://doi.org/10.1109/tla.2008.4609912
https://doi.org/10.1109/tla.2008.4609912
Publikováno v:
Proceeding Series of the Brazilian Society of Computational and Applied Mathematics.
Problemas inversos sao muito suscetiveis a erros, devido aos ruidos que estao sempre presentes em dados experimentais. Portanto, o tratamento e essencial na formulacao e solucao de tais problemas. Assim, um sistema de inferencia que combina uma medid
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0af8a63a02b482fe4f3fa78fbc1c3e6b
https://doi.org/10.5540/03.2015.003.01.0459
https://doi.org/10.5540/03.2015.003.01.0459
Publikováno v:
Proceeding Series of the Brazilian Society of Computational and Applied Mathematics.
A necessidade de solucao de problemas de otimizacao exerce papel fundamental na solucao de problemas inversos formulados implicitamente, onde a solucao e obtida atraves da minimizacao de uma funcao objetivo dada pelo somatorio dos residuos entre as m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e02e7a5eaa83f72b9cb4cea0701619e0
https://doi.org/10.5540/03.2015.003.01.0438
https://doi.org/10.5540/03.2015.003.01.0438
Autor:
Eliane Gonçalves Gomes, João Carlos Correia Baptista Soares de Mello, Luiz Biondi Neto, Lidia Angulo Meza
Publikováno v:
Pesquisa Operacional, Vol 25, Iss 3, Pp 493-503 (2005)
Pesquisa Operacional v.25 n.3 2005
Pesquisa operacional
Sociedade Brasileira de Pesquisa Operacional (SOBRAPO)
instacron:SOBRAPO
Pesquisa Operacional, Volume: 25, Issue: 3, Pages: 493-503, Published: DEC 2005
Pesquisa Operacional v.25 n.3 2005
Pesquisa operacional
Sociedade Brasileira de Pesquisa Operacional (SOBRAPO)
instacron:SOBRAPO
Pesquisa Operacional, Volume: 25, Issue: 3, Pages: 493-503, Published: DEC 2005
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::eb470783f2430de7010d79d44942e468
http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0101-74382005000300011
http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0101-74382005000300011
Publikováno v:
IJCNN
This paper describes a neural network based equalizer trained by the artificial immune system learning algorithm. The equalizer takes advantage of the characteristics of neural nets and artificial immune systems. Simulations for channel responses exa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::30e2a0cdd8799cef4da21de01a6b09e6
https://doi.org/10.1109/ijcnn.2013.6707104
https://doi.org/10.1109/ijcnn.2013.6707104
Autor:
Luiz Biondi Neto, Lidia Angulo Meza, Thiago Bernardino de Carvalho, Urbano Gomes Pinto de Abreu, Sergio de Zen, João Carlos Correia Baptista Soares de Mello, Eliane Gonçalves Gomes
Publikováno v:
Applications of Self-Organizing Maps
The beef cattle production system is the set of technologies and management practices, ani‐ mal type, purpose of breeding, breed group and the eco-region where the activity is devel‐ oped. The central structure in the beef cattle production chain
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8bfcff2b19d44788f0d9815cfa37f830
http://www.intechopen.com/articles/show/title/ex-post-clustering-of-brazilian-beef-cattle-farms-using-soms-and-cross-evaluation-dea-models
http://www.intechopen.com/articles/show/title/ex-post-clustering-of-brazilian-beef-cattle-farms-using-soms-and-cross-evaluation-dea-models