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Application Of Artificial Neural Networks In Geoinformatics


Application Of Artificial Neural Networks In Geoinformatics
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Application Of Artificial Neural Networks In Geoinformatics


Application Of Artificial Neural Networks In Geoinformatics
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Author : Saro Lee
language : en
Publisher: MDPI
Release Date : 2018-04-09

Application Of Artificial Neural Networks In Geoinformatics written by Saro Lee and has been published by MDPI this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-04-09 with Science categories.


This book is a printed edition of the Special Issue "Application of Artificial Neural Networks in Geoinformatics" that was published in Applied Sciences



Application Of Artificial Neural Networks In Geoinformatics


Application Of Artificial Neural Networks In Geoinformatics
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Author : Saro Lee
language : en
Publisher:
Release Date : 2018

Application Of Artificial Neural Networks In Geoinformatics written by Saro Lee and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018 with categories.


Application of Artificial Neural Networks in Geoinformatics.



Geophysical Applications Of Artificial Neural Networks And Fuzzy Logic


Geophysical Applications Of Artificial Neural Networks And Fuzzy Logic
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Author : W. Sandham
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-06-29

Geophysical Applications Of Artificial Neural Networks And Fuzzy Logic written by W. Sandham and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-06-29 with Mathematics categories.


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.



Handbook Of Research On Geoinformatics


Handbook Of Research On Geoinformatics
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Author : Karimi, Hassan A.
language : en
Publisher: IGI Global
Release Date : 2009-01-31

Handbook Of Research On Geoinformatics written by Karimi, Hassan A. and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-01-31 with Technology & Engineering categories.


"This book discusses the complete range of contemporary research topics such as computer modeling, geometry, geoprocessing, and geographic information systems"--Provided by publisher.



Artificial Neural Networks In Hydrology


Artificial Neural Networks In Hydrology
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Author : R.S. Govindaraju
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-03-09

Artificial Neural Networks In Hydrology written by R.S. Govindaraju and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-03-09 with Science categories.


R. S. GOVINDARAJU and ARAMACHANDRA RAO School of Civil Engineering Purdue University West Lafayette, IN. , USA Background and Motivation The basic notion of artificial neural networks (ANNs), as we understand them today, was perhaps first formalized by McCulloch and Pitts (1943) in their model of an artificial neuron. Research in this field remained somewhat dormant in the early years, perhaps because of the limited capabilities of this method and because there was no clear indication of its potential uses. However, interest in this area picked up momentum in a dramatic fashion with the works of Hopfield (1982) and Rumelhart et al. (1986). Not only did these studies place artificial neural networks on a firmer mathematical footing, but also opened the dOOf to a host of potential applications for this computational tool. Consequently, neural network computing has progressed rapidly along all fronts: theoretical development of different learning algorithms, computing capabilities, and applications to diverse areas from neurophysiology to the stock market. . Initial studies on artificial neural networks were prompted by adesire to have computers mimic human learning. As a result, the jargon associated with the technical literature on this subject is replete with expressions such as excitation and inhibition of neurons, strength of synaptic connections, learning rates, training, and network experience. ANNs have also been referred to as neurocomputers by people who want to preserve this analogy.



Handbook Of Neural Computing Applications


Handbook Of Neural Computing Applications
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Author : Alianna J. Maren
language : en
Publisher: Academic Press
Release Date : 2014-05-10

Handbook Of Neural Computing Applications written by Alianna J. Maren and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-05-10 with Computers categories.


Handbook of Neural Computing Applications is a collection of articles that deals with neural networks. Some papers review the biology of neural networks, their type and function (structure, dynamics, and learning) and compare a back-propagating perceptron with a Boltzmann machine, or a Hopfield network with a Brain-State-in-a-Box network. Other papers deal with specific neural network types, and also on selecting, configuring, and implementing neural networks. Other papers address specific applications including neurocontrol for the benefit of control engineers and for neural networks researchers. Other applications involve signal processing, spatio-temporal pattern recognition, medical diagnoses, fault diagnoses, robotics, business, data communications, data compression, and adaptive man-machine systems. One paper describes data compression and dimensionality reduction methods that have characteristics, such as high compression ratios to facilitate data storage, strong discrimination of novel data from baseline, rapid operation for software and hardware, as well as the ability to recognized loss of data during compression or reconstruction. The collection can prove helpful for programmers, computer engineers, computer technicians, and computer instructors dealing with many aspects of computers related to programming, hardware interface, networking, engineering or design.



Statistics Explained


Statistics Explained
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Author : Steve McKillup
language : en
Publisher: Cambridge University Press
Release Date : 2011-11-03

Statistics Explained written by Steve McKillup and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-11-03 with Medical categories.


An understanding of statistics and experimental design is essential for life science studies, but many students lack a mathematical background and some even dread taking an introductory statistics course. Using a refreshingly clear and encouraging reader-friendly approach, this book helps students understand how to choose, carry out, interpret and report the results of complex statistical analyses, critically evaluate the design of experiments and proceed to more advanced material. Taking a straightforward conceptual approach, it is specifically designed to foster understanding, demystify difficult concepts and encourage the unsure. Even complex topics are explained clearly, using a pictorial approach with a minimum of formulae and terminology. Examples of tests included throughout are kept simple by using small data sets. In addition, end-of-chapter exercises, new to this edition, allow self-testing. Handy diagnostic tables help students choose the right test for their work and remain a useful refresher tool for postgraduates.



Gis And Geostatistical Techniques For Groundwater Science


Gis And Geostatistical Techniques For Groundwater Science
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Author : Senapathi Venkatramanan
language : en
Publisher: Elsevier
Release Date : 2019-05-28

Gis And Geostatistical Techniques For Groundwater Science written by Senapathi Venkatramanan and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-05-28 with Science categories.


GIS and Geostatistical Techniques for Groundwater Science provides a detailed synthesis of the application of GIS and geostatistics in groundwater studies. As the book illustrates, GIS can be a powerful tool for developing solutions for water resource problems, assessing water quality, and managing water resources. Beginning with an introduction to the history of GIS and geostatistical techniques in groundwater studies, the book then describes various spatial techniques, including case studies for various applications, from quality assessment, to resource management. This book assembles the most up-to-date techniques in GIS and geostatistics as they relate to groundwater, one of our most important natural resources. - Provides details on the application of GIS and statistics in groundwater studies - Includes practical coverage of the use of spatial analysis techniques in groundwater science - Bridges the gap between geostatistics and GIS as it relates to groundwater science and management - Offers worldwide case studies to illustrate various techniques and applications in addressing groundwater issues



Applied Gis And Spatial Analysis


Applied Gis And Spatial Analysis
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Author : John Stillwell
language : en
Publisher: John Wiley & Sons
Release Date : 2003-11-07

Applied Gis And Spatial Analysis written by John Stillwell and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003-11-07 with Science categories.


Only applications-driven book dealing with commerically-sponsored spatial analysis research. Focuses on business and public sector planning case studies, offering readers a snapshot of the use of spatial analysis across a broad range of areas. Internationally-renowned editors and contributors present a broad variety of global applications, and demonstrate GIS components and spatial methodologies in practice.



Gis Environmental Modelling And Engineering


Gis Environmental Modelling And Engineering
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Author : Allan Brimicombe
language : en
Publisher: CRC Press
Release Date : 2003-08-29

Gis Environmental Modelling And Engineering written by Allan Brimicombe and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003-08-29 with Technology & Engineering categories.


The significance of modeling in managing the environment is well recognized from scientific and engineering perspectives as well as in the political arena. Environmental concerns and issues of sustainability have permeated both public and private sectors, particularly the need to predict, assess and mitigate against adverse impacts that arise from