Seismic Waves And Rays In Elastic Media

Author: Michael A. Slawinski
Publisher: Elsevier
ISBN: 9780080439303
Size: 36.73 MB
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SEISMIC EXPLORATION Editors: Klaus Helbig and Sven Treitel PUBLISHED
VOLUMES 1984 - Mathematical Aspects of ... ISBN 0-08-043649-8 2001 -
Computational Neural Networks for Geophysical Data Processing (M.M. Poulton)
ISBN ...

Expanded Abstracts With Biographies

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Zhang, L., Quirein, J., and Schuelke, J., 2001, “Selforganizing map (SOM) neural
network for classifying seismic traces and picking horizons", in Poulton, M., ed.,
Computational neural networks for geophysical data processing; Chapter l0, ...

Handbook Of Neural Network Signal Processing

Author: Yu Hen Hu
Publisher: CRC Press
ISBN: 1420038613
Size: 53.94 MB
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You need a handy reference that will inform you of current applications in this new area. The Handbook of Neural Network Signal Processing provides this much needed service for all engineers and scientists in the field.

Monitoring The Comprehensive Nuclear Test Ban Treaty Data Processing And Infrasound

Author: Zoltan A. Der
Publisher: Springer
ISBN: 3034881444
Size: 79.92 MB
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The PIDC has accumulated millions of seismic phase readings for the current
threecomponent stations, which were ... This paper proposes an approach to
training neural networks that takes advantage of accumulated seismic phases ...
Computational modelsof aneural network tryto emulate thephysiology ofreal

Applied Neural Networks For Signal Processing

Author: Fa-Long Luo
Publisher: Cambridge University Press
ISBN: 9780521644006
Size: 41.81 MB
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Neural. Networks. for. Spectral. Estimation. Spectral estimation techniques can
be split into two groups: ... As a result, the conventional nonparametric methods
have found wide use in advanced radar, sonar, communication, speech,
biomedical, geophysical, and other data processing systems. ... Unfortunately,
parametric spectral estimation methods are usually computationally intensive,
which prevents ...

Geophysical Applications Of Artificial Neural Networks And Fuzzy Logic

Author: W. Sandham
Publisher: Springer Science & Business Media
ISBN: 9781402017292
Size: 71.21 MB
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NETWORKS DOUGLAS I. HART Western ... in seismic data, is essential for
performing refraction statics computations or diving-wave tomography
calculations. Picking ... Modern 3-D seismic surveys, with their increased
quantities of recorded data, have only exacerbated this bottleneck in the
productivity of processing seismic data.

Process Neural Networks

Author: Xingui He
Publisher: Springer Science & Business Media
ISBN: 9783540737629
Size: 35.54 MB
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6 Feedback Process Neural NetWorks A feedback neural network is an artificial
neural network model that has been widely applied to signal processing ",
optimal computation", convex nonlinear programming", seismic data filtering", etc.