Support vector regression can predict numeric values effectively, and this article shows how to implement and train a kernel SVR model in C# using stochastic sub-gradient descent.
Abstract: This study presents an adaptive PI current control technique for sensorless speed regulation of high-power propulsion permanent magnet synchronous motors (PMSMs), built on a multivariable ...
Department of Electrical Engineering, Higher Institute of Science and Technology, Nalut, Libya. This paper presents a novel hybrid framework that integrates Zero-Phase filtering (ZP) with adaptive ...
The architecture of our RDLUF with $K$ stages (iterations). RDLGD and PM denote the Residual Degradation Learning Gradient Descent module and the Proximal Mapping ...
Abstract: Reactor system modeling is the premise of reactor control system design. The common commercial thermal and hydraulic analysis programs like RELAP5, RETRAN have complex structure and slow ...
This repository contains the code and pretrained models for "Learning-Based Reconstruction of FRI Signals" (TSP' 23; arxiv). The code consists of two different learning-based FRI models: Deep Unfolded ...
We present a theory of neural circuits’ design and function, inspired by the random connectivity of real neural circuits and the mathematical power of random projections. Specifically, we introduce a ...
Power-Force-Velocity profile obtained during a sprint test is crucial for designing personalized training and evaluating injury risks. Estimation of instantaneous velocity is requisite for developing ...
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