Absbwct -This paper presents performance evaluations of a highfrequency( 100kHz) carrier switched-mode PWM power conversion amplifier system for precise high-speed current-tracking control of electromagnetic circuit. Its computer-aided analysis and some design considerations are described on the basis of state-space averaging analysis and model matching method.The proposed power Conditioning system technology is more acceptable for the current-regulated power supply of magnetic resonance imaging(MR1) machines, which requires analog-oriented unique highly-regulated power electronic circuit systems for the generation of magnetic-gradient fields.

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Deep learning is used to classify data into several groups based on nonlinear curved surfaces. In this paper, we focus on the theoretical analysis of deep learning using the rectified linear unit (ReLU) activation function. Because layers approximate a nonlinear curved surface, increasing the number of layers improves the approximation accuracy of the curved surface. While neurons perform a layer-by-layer approximation of the most appropriate hyperplanes, increasing their number cannot improve the results obtained via canonical correlation analysis (CCA). These results illustrate the functions of layers and neurons in deep learning with ReLU.

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