Artificial Neural Network inversion in Geoelectrics (Paperback)

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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