Computational Neural Networks For Geophysical Data Processing

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Author: M.M. Poulton
Publisher: Elsevier
ISBN: 9780080529653
Size: 35.65 MB
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Computational Neural Networks For Geophysical Data Processing by M.M. Poulton


Original Title: Computational Neural Networks For Geophysical Data Processing

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.

Seismic Waves And Rays In Elastic Media

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Author: Michael A. Slawinski
Publisher: Elsevier
ISBN: 9780080439303
Size: 24.72 MB
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Seismic Waves And Rays In Elastic Media by Michael A. Slawinski


Original Title: Seismic Waves And Rays In Elastic Media

This book seeks to explore seismic phenomena in elastic media and emphasizes the interdependence of mathematical formulation and physical meaning. The purpose of this title - which is intended for senior undergraduate and graduate students as well as scientists interested in quantitative seismology - is to use aspects of continuum mechanics, wave theory and ray theory to describe phenomena resulting from the propagation of waves. The book is divided into three parts: Elastic continua, Waves and rays, and Variational formulation of rays. In Part I, continuum mechanics are used to describe the material through which seismic waves propagate, and to formulate a system of equations to study the behaviour of such material. In Part II, these equations are used to identify the types of body waves propagating in elastic continua as well as to express their velocities and displacements in terms of the properties of these continua. To solve the equations of motion in anisotropic inhomogeneous continua, the high-frequency approximation is used and establishes the concept of a ray. In Part III, it is shown that in elastic continua a ray is tantamount to a trajectory along which a seismic signal propagates in accordance with the variational principle of stationary travel time.

Handbook Of Neural Network Signal Processing

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Author: Yu Hen Hu
Publisher: CRC Press
ISBN: 1420038613
Size: 80.72 MB
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Handbook Of Neural Network Signal Processing by Yu Hen Hu


Original Title: Handbook Of Neural Network Signal Processing

The use of neural networks is permeating every area of signal processing. They can provide powerful means for solving many problems, especially in nonlinear, real-time, adaptive, and blind signal processing. The Handbook of Neural Network Signal Processing brings together applications that were previously scattered among various publications to provide an up-to-date, detailed treatment of the subject from an engineering point of view. The authors cover basic principles, modeling, algorithms, architectures, implementation procedures, and well-designed simulation examples of audio, video, speech, communication, geophysical, sonar, radar, medical, and many other signals. The subject of neural networks and their application to signal processing is constantly improving. 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.

Intelligent Computational Paradigms In Earthquake Engineering

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Author: Nikos D. Lagaros
Publisher: IGI Global
ISBN: 1599041014
Size: 32.32 MB
Format: PDF, ePub, Docs
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Intelligent Computational Paradigms In Earthquake Engineering by Nikos D. Lagaros


Original Title: Intelligent Computational Paradigms In Earthquake Engineering

"This book contains contributions that cover a wide spectrum of very important real-world engineering problems, and explores the implementation of neural networks for the representation of structural responses in earthquake engineering. It assesses the efficiency of seismic design procedures and describes the latest findings in intelligent optimal control systems and their applications in structural engineering"--Provided by publisher.

Process Neural Networks

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Author: Xingui He
Publisher: Springer Science & Business Media
ISBN: 9783540737629
Size: 17.88 MB
Format: PDF
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Process Neural Networks by Xingui He


Original Title: Process Neural Networks

For the first time, this book sets forth the concept and model for a process neural network. You’ll discover how a process neural network expands the mapping relationship between the input and output of traditional neural networks and greatly enhances the expression capability of artificial neural networks. Detailed illustrations help you visualize information processing flow and the mapping relationship between inputs and outputs.

Geophysical Applications Of Artificial Neural Networks And Fuzzy Logic

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Author: W. Sandham
Publisher: Springer Science & Business Media
ISBN: 9781402017292
Size: 26.16 MB
Format: PDF, Mobi
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Geophysical Applications Of Artificial Neural Networks And Fuzzy Logic by W. Sandham


Original Title: Geophysical Applications Of Artificial Neural Networks And Fuzzy Logic

The past fifteen years has witnessed an explosive growth in the fundamental research and applications of artificial neural networks (ANNs) and fuzzy logic (FL). The main impetus behind this growth has been the ability of such methods to offer solutions not amenable to conventional techniques, particularly in application domains involving pattern recognition, prediction and control. Although the origins of ANNs and FL may be traced back to the 1940s and 1960s, respectively, the most rapid progress has only been achieved in the last fifteen years. This has been due to significant theoretical advances in our understanding of ANNs and FL, complemented by major technological developments in high-speed computing. In geophysics, ANNs and FL have enjoyed significant success and are now employed routinely in the following areas (amongst others): 1. Exploration Seismology. (a) Seismic data processing (trace editing; first break picking; deconvolution and multiple suppression; wavelet estimation; velocity analysis; noise identification/reduction; statics analysis; dataset matching/prediction, attenuation), (b) AVO analysis, (c) Chimneys, (d) Compression I dimensionality reduction, (e) Shear-wave analysis, (f) Interpretation (event tracking; lithology prediction and well-log analysis; prospect appraisal; hydrocarbon prediction; inversion; reservoir characterisation; quality assessment; tomography). 2. Earthquake Seismology and Subterranean Nuclear Explosions. 3. Mineral Exploration. 4. Electromagnetic I Potential Field Exploration. (a) Electromagnetic methods, (b) Potential field methods, (c) Ground penetrating radar, (d) Remote sensing, (e) inversion.

Monitoring The Comprehensive Nuclear Test Ban Treaty Data Processing And Infrasound

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Author: Zoltan A. Der
Publisher: Springer
ISBN: 3034881444
Size: 58.60 MB
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Monitoring The Comprehensive Nuclear Test Ban Treaty Data Processing And Infrasound by Zoltan A. Der


Original Title: Monitoring The Comprehensive Nuclear Test Ban Treaty Data Processing And Infrasound

On September 10, 1996, The United Nations General Assembly adopted the Copmprehensive Nuclear-Test-Ban Treaty (CTBT), prohibiting nuclear explosions worldwide, in all environments. The treaty calls for a global verification system, including a network of 321 monitoring stations distributed around the globe, a data communications network, an international data center (IDC), and on-site inspections, to verify compliance. This volume presents certain recent research results pertaining on methods used to process data recorded by instruments of the International Monitoring System (IMS) and addressing recording infrasound signals generated by atmospheric explosions. Six papers treating data processing provide an important selection of topics expected to contribute to improving our ability to successfully monitor a CTBT. Five papers concerning infrasound include descriptions of ways in which that important research area can contribute to CTBT monitoring, the automatic processing of infrasound data, and site conditions that serve to improve the quality of infrasound data.

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