Application of Nerve Network in Logging Interpretation
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Abstract
The basic features of nerve network and its implementation process are presented in this paper. The selected BP network model is shown in detail and applied to interpretation of the median grain diameter and permeability in logging. The mean relative errors of the predicted results are 7.84% and 22.98% respectively, but we use previous method, these errors are about 20% and 40% respectively.
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