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Results must be interpreted with the support of Figure 10, which shows the number of bins on the histograms used for classifications in each configuration.
Artificial neural network (ANN) is a powerful tool for reservoir characterization; it can be used for classifications of categorical reservoir variables, as well as for predictions of continuous reservoir properties.
SNP & Variation Suite v8.1 (SVS) [Bozeman, MT: Golden Helix, Inc] was used for classifications.
Then, these data are used for classifications to qualify the thresholds of stress for individuals (see details in section on statistics below).
Support Vector Machines [ 31] was used for classification of samples between two categories, and Diagonal Linear Discriminant Analysis, which avoids complex models with excessive parameters in order to avoid over fitting data without loss of performance [ 32] was used for classifications with more than two categories.
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These lower dimensional feature vectors are then used for classification.
The minimum number of parameters was used for classification.
Moreover, they are used for classification and regression analysis [31].
Regularized least square algorithm is used for classification of data.
The multivariate Gaussian (MVG) algorithm was used for classification.
Finally, SVM or softmax is used for classification and positioning.
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