Zobrazeno 1 - 10
of 50
pro vyhledávání: '"Velho, H. F."'
Autor:
Vasconcellos, E. C., de Carvalho, R. R., Gal, R. R., LaBarbera, F. L., Capelato, H. V., Velho, H. F. Campos, Trevisan, M., Ruiz, R. S. R.
We study the star/galaxy classification efficiency of 13 different decision tree algorithms applied to photometric objects in the Sloan Digital Sky Survey Data Release Seven (SDSS DR7). Each algorithm is defined by a set of parameters which, when var
Externí odkaz:
http://arxiv.org/abs/1011.1951
Autor:
Paes, F. F., Velho, H. F. Campos
The emission rate of minority atmospheric gases is inferred by a new approach based on neural networks. The neural network applied is the multi-layer perceptron with backpropagation algorithm for learning. The identification of these surface fluxes i
Externí odkaz:
http://arxiv.org/abs/0912.0936
Publikováno v:
Cosmic Research. Oct2010, Vol. 48 Issue 5, p443-450. 8p. 1 Black and White Photograph, 4 Diagrams, 4 Charts, 3 Graphs.
Autor:
Nunes, A. B.1, Campos Velho, H. F.1 haroldo@lac.inpe.br, Satyamurty, P.1, Degrazia, G.2, Goulart, A.2, Rizza, U.3
Publikováno v:
Boundary-Layer Meteorology. Jan2010, Vol. 134 Issue 1, p23-39. 17p. 4 Charts, 13 Graphs.
Autor:
Härter, F. P., Campos Velho, H. F.
Neural networks have emerged as a novel scheme for a data assimilation process. Neural network techniques are applied for data assimilation in the Lorenz chaotic system. A radial basisfunction and a multilayer perceptron neural networks are trained e
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______2425::9d12ae6c6260750cb505668b858ed49f
http://dspace.susu.ac.ru/xmlui/handle/0001.74/5197
http://dspace.susu.ac.ru/xmlui/handle/0001.74/5197