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According to the correspondence relationship between the base coefficients of fitting curves and the functional data, this paper proposed a method of outlier detection for functional data. The principle is to use MCD algorithm in multivariate data to detect the outliers of the base coefficients of fitting curves, and then correspond the detection result with the functional data to realize the process...
Based on the preprocessing of logging data such as standardization, with the B-spline, we map log-signal space into the vector space. And then we use SVM (support vector machine) to automatically identify the water-flooded status of oil-saturated stratum. The experiments show that the effect of this algorithm is better
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