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Systems based on artificial neural networks (ANNs) have achieved state-of-the-art results in many natural language processing tasks. Although ANNs do not require manually engineered features, ANNs have many hyperparameters to be optimized. The choice of hyperparameters significantly impacts models' performances. However, the ANN hyperparameters are typically chosen by manual, grid, or random search,...
This paper presents a dynamic simulation model which fully describes transient and steady-state operation of flux reversal linear synchronous motor. Magnetic field computation by finite element analysis considering inter-phase coupling effect is performed which leads to phase-independent voltage equation in the dynamic simulation. Motor parameters are obtained by magnetic field computation and put...
This paper proposes an effective parametric design for high temperature superconducting (HTS) synchronous motors with 3D equivalent magnetic circuit network (EMCN) method. Proposed design process consists of 5 steps which are electric design, mechanical design, characteristic analysis for field and armature, and motor characteristic analysis. Especially, in order to predict the performance of HTS...
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