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Comparação entre redes neurais artificiais e comitê de redes na estimação do volume individual de árvores de Eucalyptus/ Artificial neural networks committee in the estimation of the individual volume of Eucalyptus trees

Autor: Dantas, Daniel, Arriel, Taiana Guimarães, Calegario, Natalino, Lacerda, Wilian Soares

Publikováno v: Caderno de Ciências Agrárias; v. 10 n. 1 (2018); 01-06
Agrarian Sciences Journal; Vol. 10 No. 1 (2018); 01-06
Caderno de Ciências Agrárias
Universidade Federal de Minas Gerais (UFMG)
instacron:UFMG
Caderno de Ciências Agrárias; v. 10, n. 1 (2018); 01-06

Com o avanço de programas computacionais e a difusão da Inteligência Computacional, as redes neurais artificiais (RNA) têm sido utilizadas como alternativa para a modelagem e prognose da produção florestal. Objetivou-se com este trabalho avalia

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::fa8b93b08133542fd64ff16b015c54d2
https://seer.ufmg.br/index.php/ccaufmg/article/view/3011

Use of artificial neural networks for prognosis of charcoal prices in Minas Gerais

Autor: Coelho Junior,Luiz Moreira, Rezende,José Luiz Pereira de, Batista,André Luiz França, Mendonça,Adriano Ribeiro de, Lacerda,Wilian Soares

Publikováno v: CERNE v.19 n.2 2013
Cerne
Universidade Federal de Lavras (UFLA)
instacron:UFLA

Energy is an important factor of economic growth and is critical to the stability of a nation. Charcoal is a renewable energy resource and is a fundamental input to the development of the Brazilian forest-based industry. The objective of this study i

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od______3056::6087e6d864b42dd093bcd8f339b589ef
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0104-77602013000200012

Aplicação de redes neurais artificiais na classificação de áreas cafeeiras em Machado - MG

Autor: Andrade, Livia Naiara, Vieira, Tatiana Grossi Chquiloff, Lacerda, Wilian Soares, Volpato, Margarete Marin Lordelo, Davis Jr, Clodoveu Augusto

Publikováno v: Coffee Science-ISSN 1984-3909; Vol. 8 No. 1 (2013); 78-90
Coffee Science; Vol. 8 Núm. 1 (2013); 78-90
Coffee Science; v. 8 n. 1 (2013); 78-90
Coffee Science
Universidade Federal de Lavras (UFLA)
instacron:UFLA

The coffee is extremely important activity in southern of Minas Gerais and techniques for estimating acreage, seeking reliable crop forecasts are being intensely investigated. It is presented in this study, an application of Artificial Neural Network

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od______3056::aa85fc7f70160d55181ebe49f9cc1b34
http://www.coffeescience.ufla.br/index.php/Coffeescience/article/view/363

Synthesis of digital circuits with ability to generalize

Autor: Lacerda, Wilian Soares, Braga, Antônio de Pádua

Publikováno v: INFOCOMP Journal of Computer Science; Vol. 9 No. 2 (2010): June, 2010; 92-97
INFOCOMP: Jornal de Ciência da Computação
Universidade Federal de Lavras (UFLA)
instacron:UFLA

A method for synthesis of digital hardware classification circuits is presented in this paper. The method works by first selecting data from the truth table that are important for generalization of the circuit. The selected subset is provided to a Bo

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od______3056::3c5a4cbab29ca66e361bf7649b141d40
https://infocomp.dcc.ufla.br/index.php/infocomp/article/view/306