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The use of Neural Networks for Spatial Simulation

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Geostatistics for the Next Century

Part of the book series: Quantitative Geology and Geostatistics ((QGAG,volume 6))

Abstract

This paper describes current research work in the application of neural networks to conditional spatial simulation. A number of possible approaches are suggested and an example simulation using a feedforward, error back propagation network is shown. The advantages and disadvantages of the neural network approach are discussed and some possible directions for further work are suggested.

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© 1994 Springer Science+Business Media Dordrecht

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Dowd, P.A. (1994). The use of Neural Networks for Spatial Simulation. In: Dimitrakopoulos, R. (eds) Geostatistics for the Next Century. Quantitative Geology and Geostatistics, vol 6. Springer, Dordrecht. https://doi.org/10.1007/978-94-011-0824-9_22

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  • DOI: https://doi.org/10.1007/978-94-011-0824-9_22

  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-94-010-4354-0

  • Online ISBN: 978-94-011-0824-9

  • eBook Packages: Springer Book Archive

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