Gradient Descendent
Mostrando 1-2 de 2 artigos, teses e dissertações.
-
1. Rede Neural Difusa com T-normas Diferenciáveis e Interativas
Fuzzy sets are used in the representation of vague and imprecise knowledge. Neural networks, besides their computational parallelism, also have learning capabilities. The combination of such both paradigms is an attempt to congregate their benefits in an integrated system, such a fuzzy neural network. T-norms are functions that actuate like intersection and
Publicado em: 2007
-
2. ANISOTROPY INFLUENCE ON NORMAL MOVEOUT CORRECTION IN VTI SEISMIC DATA AND VELOCITY ANALYSIS USINGGRADIENT DESCENDENT / INFLUÊNCIA DA ANISOTROPIA VTI NA CORREÇÃO DE SOBRETEMPO NORMAL EM DADOS SÍSMICOS E ANÁLISE DE VELOCIDADE POR GRADIENTE DESCENDENTE
This work quantifies the error created during seismic processing when isotropic approach is used to normal moveout correction and velocity analysis and the seismic data is anisotropic. This quantification is made by performing velocity analysis in several synthetic seismograms built from a simple (but realistic) geological model with some horizontal layers,
Publicado em: 2005