Title
Using Neural Networks to Evaluate the Effectiveness of a new Seismic Fault Attribute
Abstract
In this work, we show the development of an adaptive algorithm based on the Ln(cosh \varepsilon) as cost function applied upon the error, called Sigmoidal Algorithm (SA). That function generates a surface which yields fast convergence along with lower ...
Year
DOI
Venue
2006
10.1109/SBRN.2006.43
SBRN
Keywords
Field
DocType
neural networks,new seismic fault attribute,sigmoidal algorithm,adaptive algorithm,reflection,fault detection,oil industry,geology,petroleum industry,seismology,neural network,earth
Identifier,Reflection seismology,Computer science,Fault detection and isolation,Seismic interpretation,Artificial intelligence,Artificial neural network,Perceptron,Machine learning,Computation
Conference
ISBN
Citations 
PageRank 
0-7695-2680-2
1
0.36
References 
Authors
1
4
Name
Order
Citations
PageRank
Marcos Machado110.36
Marley B. R. Vellasco228047.47
Pedro Mario Silva321.39
Marcelo Gattass438248.43