Category: Mathematics and Computer Science

[1] Space vector PWM control of dual three-phase induction machine using vector space decomposition The technique of vector space decomposition control of voltage source inverter fed dual three-phase induction machines is presented in this paper. By vector space decomposition, the analytical modeling and control of the machine are accomplished in three two-dimensional orthogonal subspaces and the dynamics of the electromechanical energy conversion related and the nonelectromechanical energy conversion related machine variables are thereby totally decoupled. A space vector PWM technique … Continue reading “Latest Research News on Vector Space : April 21”

Artificial neural networks (the multilayer perceptron)—a review of applications in the atmospheric sciences Artificial neural networks are appearing as useful alternatives to traditional statistical modelling techniques in many scientific disciplines. This paper presents a general introduction and discussion of recent applications of the multilayer perceptron, one type of artificial neural network, in the atmospheric sciences. [1] Logistic regression and artificial neural network classification models: a methodology review Logistic regression and artificial neural networks are the models of choice in many medical data classification tasks. In … Continue reading “Latest Research on Artificial Neural Network: March – 2020”