Artificial Neural Network inversion in Geoelectrics: Modeling and inversion of geophysical resistivity data using artificial neural network - Couverture souple

Singh, Upendra

 
9783639208863: Artificial Neural Network inversion in Geoelectrics: Modeling and inversion of geophysical resistivity data using artificial neural network
Couverture souple
ISBN 10 : 3639208862 ISBN 13 : 9783639208863
Editeur : VDM Verlag Dr. Müller, 2009

Synopsis

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.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

Présentation de l'éditeur

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.

Biographie de l'auteur

U. K. Singh is Assistant Professor in the Department of Applied Geophysics, Indian School of Mines, Dhanbad, India where he teaches on a course of geophysical inverse problems. He received his M. Sc. (Tech) degree from Banaras Hindu University, India and doctorate degree from Osmania University of Hyderabad, India.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
VDM Verlag Dr. Müller
Date d'édition
2009
Langue
anglais
ISBN 10 
3639208862
ISBN 13 
9783639208863
Reliure
Broché
Nombre de pages
148
Coordonnées du fabricant
non disponible
Personne responsable
non disponible