Seismic Waves And Rays In Elastic Media

Author: Michael A. Slawinski
Publisher: Elsevier
ISBN: 9780080439303
Size: 19.48 MB
Format: PDF, Mobi
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3d Updated and Revised Edition (B.A. Hardage) ISBN 0-08-043518-1 2001 -
Seismic Signatures and Analysis of Reflection Data in Anisotropic Media (I.
Tsvankin) ISBN 0-08-043649-8 2001 - Computational Neural Networks for
Geophysical Data Processing (M.M. Poulton) ISBN 0-08-043986-1 2001 - Wave
Fields in Real Media: Wave Propagation in Anisotropic, Anelastic and Porous
Media (J.M. Carcione) ISBN 0-08-043929-2 2002 - Multi-Component VSP
Analysis for Applied ...

Soft Computing In Machine Learning

Author: Sang-Yong Rhee
Publisher: Springer
ISBN: 331905533X
Size: 62.21 MB
Format: PDF, Kindle
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In the paper “adjacency cube” method for integration of results of few
interpretation algorithms is proposed. Learning algorithm for the “adjacency cube
” with low computational complexity was developed. The proposed method
improves quality of recognition by 2-3 percent. Keywords: Geophysical research
of boreholes, machine learning, artificial neural network, k-NN, uranium deposit,
post-processing data, learning sample, “adjacency cube” method. 1 Introduction
This problem of ...

Handbook Of Neural Network Signal Processing

Author: Yu Hen Hu
Publisher: CRC Press
ISBN: 1420038613
Size: 26.80 MB
Format: PDF, Docs
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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.

Proceedings Of The International Conference On Neural Networks

Author: Institute of Electrical and Electronics Engineers
ISBN: 9780780341234
Size: 64.33 MB
Format: PDF, Kindle
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Abstract We train an artificial neural network to perform decon- volution of seismic
data and thereby recognize and remove multiple arrivals in reflection seismic
data. Basis for the learning process is a well log that is typical for the area in
which the data were gathered. Modeling data from this well log and comparing it
to real recorded data allows deduce relations between the subsurface model in
the recorded data. In contrast to conventional geophysical data processing
techniques, ...

Applied Neural Networks For Signal Processing

Author: Fa-Long Luo
Publisher: Cambridge University Press
ISBN: 9780521644006
Size: 61.36 MB
Format: PDF, Docs
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As a result, the conventional nonparametric methods have found wide use in
advanced radar, sonar, communication, speech, biomedical, geophysical, and
other data processing systems. However, two problems plague nonparametric
spectral estimation methods, namely, high estimation variances and low
resolution, particularly, in the cases that the data are short and the signal-to-noise
ratio is low. As an alternative, parametric spectral estimation methods have been
proposed and ...