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Artificial Neural Network inversion in Geoelectrics
Angol
165 b
30 nap a termék visszaküldésére
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Puha kötésű
8 461
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Kemény kötésű
10 438
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Puha kötésű
35 666
Ft
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Puha kötésű
22 087
Ft
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Puha kötésű
7 833
Ft
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8 687
Ft
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8 770
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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.
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Angol
