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The classification performance of Support Vector Machine (SVM) is heavily influenced by its kernel parameter g and penalty factor c. in this paper, Cross-validation (CV) based grid-search optimization, CV-based genetic algorithm (GA) and CV-based particle swarm optimization (PSO) are respectively used for parameters optimization in SVM for fault classification of inverters in traction converter. Simulation...
A data-based fault diagnosis method is applied to fault diagnosis of traction converter in this paper. The wavelet transform is used to extract fault characteristics and support vector machine (SVM) is used to diagnose faults. The pros and cons of SVM and radial basis neural network (RBF NN) in fault model classification are also compared follow behind. The simulation results show that, SVM has a...
Neonatal post-hemorrhagic hydrocephalus is associated with cognitive decline and a serious deterioration in the patient's quality of life. The underlying impairments to neurons are not well understood. Here, we used the method described by Cherian et al. to construct a model of hydrocephalus after intra-ventricular hemorrhage and then observed the subsequent pathological changes in the morphology...
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