The Resource Computational neural networks for geophysical data processing, edited by Mary M. Poulton

Computational neural networks for geophysical data processing, edited by Mary M. Poulton

Label
Computational neural networks for geophysical data processing
Title
Computational neural networks for geophysical data processing
Statement of responsibility
edited by Mary M. Poulton
Contributor
Subject
Language
eng
Summary
This book was primarily written for an audience that has heard about neural networks or has had some experience with the algorithms, but would like to gain a deeper understanding of the fundamental material. For those that already have a solid grasp of how to create a neural network application, this work can provide a wide range of examples of nuances in network design, data set design, testing strategy, and error analysis. Computational, rather than artificial, modifiers are used for neural networks in this book to make a distinction between networks that are implemented in hardware and those that are implemented in software. The term artificial neural network covers any implementation that is inorganic and is the most general term. Computational neural networks are only implemented in software but represent the vast majority of applications. While this book cannot provide a blue print for every conceivable geophysics application, it does outline a basic approach that has been used successfully
Member of
Cataloging source
WAU
Dewey number
622/.15/0285632
Illustrations
illustrations
Index
index present
LC call number
TN269
LC item number
.C59 2001eb
Literary form
non fiction
Nature of contents
  • dictionaries
  • bibliography
Series statement
Seismic exploration,
Series volume
v. 30
Label
Computational neural networks for geophysical data processing, edited by Mary M. Poulton
Publication
Bibliography note
Includes bibliographical references and indexes
http://library.link/vocab/branchCode
  • net
Carrier category
online resource
Carrier category code
cr
Carrier MARC source
rdacarrier
Content category
text
Content type code
txt
Content type MARC source
rdacontent
Contents
  • Front Cover; Computational Neural Networks for Geophysical Data Processing; Copyright Page; Table of Contents; Preface; Contributing Authors; Part I: Introduction to Computational Neural Networks; Chapter 1. A Brief History; Chapter 2. Biological Versus Computational Neural Networks; Chapter 3. Multi-Layer Perceptrons and Back-Propagation Learning; Chapter 4. Design of Training and Testing Sets; Chapter 5. Alternative Architectures and Learning Rules; Chapter 6. Software and Other Resources; Part II: Seismic Data Processing; Chapter 7. Seismic Interpretation and Processing Applications
  • Chapter 8. Rock Mass and Reservoir CharacterizationChapter 9. Identifying Seismic Crew Noise; Chapter 10. Self-Organizing Map (SOM) Network for Tracking Horizons and Classifying Seismic Traces; Chapter 11. Permeability Estimation with an RBF Network and Levenberg-Marquardt Learning; Chapter 12. Caianiello Neural Network Method for Geophysical Inverse Problems; Part III: Non-Seismic Applications; Chapter 13. Non-Seismic A
Control code
ocn190795132
Edition
1st ed
Extent
1 online resource (xiii, 335 pages)
Form of item
online
Isbn
9781281038098
Media category
computer
Media MARC source
rdamedia
Media type code
c
Other physical details
illustrations
http://library.link/vocab/recordID
.b23028531
Specific material designation
remote
System control number
  • (OCoLC)190795132
  • knovel0080439861

Library Locations

    • Deakin University Library - Geelong Waurn Ponds CampusBorrow it
      75 Pigdons Road, Waurn Ponds, Victoria, 3216, AU
      -38.195656 144.304955
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