Abstract | ||
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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 |
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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 Machado | 1 | 1 | 0.36 |
Marley B. R. Vellasco | 2 | 280 | 47.47 |
Pedro Mario Silva | 3 | 2 | 1.39 |
Marcelo Gattass | 4 | 382 | 48.43 |