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Crustal deformation time series is a significant information source during the researches on continental deformation. In order to simulate the low frequency linear components which reflect dynamic trend as well as the high-frequency non-linear components which reflect disturbance, a prediction model based on Particle Swarm Optimization (PSO) and Support Vector Machine (SVM) is presented. With optimization...
By analyzing the relation between mud logging data, well logging data and formation drillability, a novel method for predicting formation drillability based on particle swarm optimization and support vector machine (PSO-SVM) is proposed. The prediction model for formation drillability is established using the data of drilling pressure, rotary speed, hydraulic horsepower, bottom hole differential pressure,...
A classification model is obtained after a classifier is trained on training data. Decision region is the region in which data are predicted the same class label by a classifier. Decision boundary is the boundary between regions of different classes. We view classification as dividing the data space into decision regions. The formal definitions of decision region and decision boundary are presented...
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