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IEEE1d
Optimization of Smooth Support Vector Machine Algorithm Using Backpropagation Nguyen Widrow Algorithm in Classification of Mellitus Diabetes Disease
In this study, a combination of Smooth Vector Support Machine (SSVM) and the Nguyen Widrow Back propagation algorithm is performed. For many data one of the weaknesses of the SSVM algorithm is the low ...
Newseria BIZNES11d
Deep learning and beyond: a global test of urban footprint mapping tools
Understanding how cities grow is vital for shaping sustainable urban futures—but mapping the true extent of urban expansion ...
IEEE20d
Anomaly Detection Through a Bayesian Support Vector Machine
This paper investigates the use of a one-class support vector machine algorithm to detect the onset of system anomalies, and trend output classification probabilities, as a way to monitor the health ...
Visual Studio Magazine25d
Linear Support Vector Regression Using C# with Particle Swarm Training
The diagram in Figure 2 gives you a rough idea of support vector regression for a scenario where there is just one predictor variable x. Each dot is a training data item. The red line is the linear ...
C&EN29d
Lost Circulation Prediction Method Based on an Improved Fruit Fly Algorithm for Support Vector Machine Optimization | ACS Omega - ACS Publications
IFOA optimization SVM flowchart. High Resolution Image. Download MS PowerPoint Slide. 4. ... A Modified Support Vector Machine Classifiers Using Stochastic Gradient Descent with Application to ...