Modern data processing techniques based on the concepts of
Artificial Neural Networks (ANN), which works on the analogy of
human brain, has emerged as one of the most powerful alternative
perspectives for complex geo-data analysis. ANN based techniques
are robust and have many advantages to handle large amount of data
sets. The main goal of the present book is to develop, apply and
compare various ANN based algorithms to construct subsurface
resistivity structure using the Schlumberger resistivity sounding
data. This book presents important results of ANN modeling of
geoelectrical sounding data from some of the crucial tectonic and
geologically important regions such as Barmer District of Rajasthan
and Puga Valley of Jammu & Kashmir. These modelling results are
important for ground water exploration and geothermal resources.
General
Imprint: |
VDM Verlag
|
Country of origin: |
Germany |
Release date: |
October 2009 |
First published: |
October 2009 |
Authors: |
Upendra Singh
|
Dimensions: |
229 x 152 x 9mm (L x W x T) |
Format: |
Paperback - Trade
|
Pages: |
148 |
ISBN-13: |
978-3-639-20886-3 |
Categories: |
Books >
Earth & environment >
Earth sciences >
General
|
LSN: |
3-639-20886-2 |
Barcode: |
9783639208863 |
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