Confidence-aware Levenberg-Marquardt optimization for joint motion estimation and super-resolution
Motion estimation across low-resolution frames and the reconstruction of high-resolution images are two coupled subproblems of multi-frame super-resolution.
Bercea, Cosmin +2 more
core +1 more source
Dynamic Economic Load Dispatch using Levenberg Marquardt Algorithm
Abstract Economic Load Dispatch (ELD) is a very important feature of power system network. This work proposes the novel approach which considers the constraint of ramp rate limit (RRL) to solve the ELD problem. It build up the time varying dynamic economic load dispatch in which load dispatching is calculated for each specified time interval, first ...
Leena Daniel +2 more
openaire +1 more source
Distributed Bragg Reflector Based on Plasmonic Ag: Plasma Polymer Nanocomposites
This paper presents a comprehensive approach for the optical design and validation of silver nanocomposite‐based Distributed Bragg Reflectors (DBRs). It describes deriving material properties (n, k) and using them to predict the performance of the deposited optical stack, as well as to characterize imperfections in the DBR deposition, or even to ...
Zdeněk Krtouš +7 more
wiley +1 more source
Short-Term Dynamical Interactions Among Extrasolar Planets
We show that short-term perturbations among massive planets in multiple planet systems can result in radial velocity variations of the central star which differ substantially from velocity variations derived assuming the planets are executing independent
Chambers, John E., Laughlin, Gregory
core +1 more source
Accelerating Levenberg-Marquardt Algorithm using Variable Damping Parameter [PDF]
The damping parameter of Levenberg-Marquardt algorithm switches between error backpropagation and Gauss-Newton learning and affects learning speed. Fixing the damping parameter induces some oscillation of error and decreases learning speed. Therefore, we propose the way of a variable damping parameter with referring to the alternation of error.
openaire +1 more source
Continuum Mechanics Modeling of Flexible Spring Joints in Surgical Robots
A new mechanical model of a tendon‐actuated helical extension spring joint in surgical robots is built using Cosserat rod theory. The model can implicitly handle the unknown contacts between adjacent coils and numerically predict spring shapes from straight to significantly bent under actuation forces.
Botian Sun +3 more
wiley +1 more source
Implementation and testing of selected optimization methods for the parameter estimation of simulation models [PDF]
Tato práce se zabývá návrhem vhodných optimalizačních algoritmů pro potřeby nově vyvíjeného nástroje Mechlab’s parameter estimation, který slouží pro odhad parametrů simulačních modelů v prostředí Matlab/Simulink.
Zapletal, Marek
core
A Concurrent Fuzzy-Neural Network Approach for Decision Support Systems
Decision-making is a process of choosing among alternative courses of action for solving complicated problems where multi-criteria objectives are involved.
Abraham, Ajith, Jain, Lakhmi, Tran, Cong
core +1 more source
Second-order Shape Optimization for Geometric Inverse Problems in Vision [PDF]
We develop a method for optimization in shape spaces, i.e., sets of surfaces modulo re-parametrization. Unlike previously proposed gradient flows, we achieve superlinear convergence rates through a subtle approximation of the shape Hessian, which is ...
Balzer, J., Soatto, S.
core +1 more source
Novel Levenberg–Marquardt based learning algorithm for unmanned aerial vehicles [PDF]
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Sarabakha, A +4 more
openaire +3 more sources

