The architecture of our RDLUF with $K$ stages (iterations). RDLGD and PM denote the Residual Degradation Learning Gradient Descent module and the Proximal Mapping ...

This paper proposes a family of line-search methods to deal with weighted orthogonal procrustes problems. In particular, the proposed family uses a search direction based on a convex combination ...

This paper proposed the additional fractional gradient descent identification algorithm based on the multi-innovation principle for autoregressive exogenous models. This algorithm incorporates an ...

Introduction: The air puff test is a contactless tonometry test used to measure the intraocular pressure and the cornea’s biomechanical properties. Limitations that most challenge the accuracy of the ...

Abstract: Aiming at the problem that EKF and UKF algorithms based on Kalman filter algorithm framework require a large amount of computation and have high requirements on the processor chip, a UAV ...

NMF solvers written by MATLAB, appplication MATLAB flies using NMF solvers, and your comments and suggestions. C.-J. Lin, "On the convergence of multiplicative update algorithms for nonnegative matrix ...

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 ...

This paper deals with an optimal control problem associated with the Kuramoto model describing the dynamical behavior of a network of coupled oscillators. Our aim is to design a suitable control ...

Due to the influence of processing technology and environmental factors, there are errors in attitude measurement with the three-axis magnetometer, and the change of parameters during the operation of ...

In this paper, a modified Polak-Ribière-Polyak conjugate gradient projection method is proposed for solving large scale nonlinear convex constrained monotone equations based on the projection method ...