![Neural networks / Plate tectonics / Stratigraphy / Well logging / Logging while drilling / Artificial neural network / Subduction / Formation / Geology / Computational neuroscience / Petroleum production Neural networks / Plate tectonics / Stratigraphy / Well logging / Logging while drilling / Artificial neural network / Subduction / Formation / Geology / Computational neuroscience / Petroleum production](https://www.pdfsearch.io/img/92cb67199d93078f8eaa12e06035c3e6.jpg)
| Document Date: 2011-08-10 05:51:03 Open Document File Size: 1,18 MBShare Result on Facebook
Company Elsevier Science B.V. / Logging / / Country Germany / Costa Rica / / / Facility University of Miami / / / IndustryTerm arti¢cial neural network / neural network / parallel data processing / genetic algorithm / data processing / biological neural networks / feasible tool / Individual networks / trained network / This site / neural networks / genetic algorithms / interconnected computing cells / individual neural network / artificial neural network / reference site / well log interpretation using neural networks / cement / data processing devices / crossover new networks / trained and evaluated network / not guarantee obtaining the optimal trained network / be estimated using a neural network / / Organization University of Miami / Miami / Cluster Unit / C5 Logging Unit / Pleistocene Logging Unit / C6 Logging Unit / C2 Logging Unit / / Person Erik Moritz / Martin Meschede / Stefan Bornholdt / Hildegard Westphal / / / Position representative / Corresponding author / / Technology Geophysics / LWD technology / neural network / genetic algorithm / automated algorithm / collected using the LWD technology / / URL www.elsevier.com/locate/epsl / /
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