Results 41 to 50 of about 63,095 (231)

A Levenberg-Marquardt Algorithm for Sparse Identification of Dynamical Systems

open access: yesIEEE Transactions on Neural Networks and Learning Systems, 2023
Low complexity of a system model is essential for its use in real-time applications. However, sparse identification methods commonly have stringent requirements that exclude them from being applied in an industrial setting. In this paper, we introduce a flexible method for the sparse identification of dynamical systems described by ordinary ...
Mark Haring   +4 more
openaire   +4 more sources

Comparison methods of short term electrical load forecasting

open access: yesMATEC Web of Conferences, 2018
The supply of electricity that exceeds the load requirement results in the occurrence of electrical power losses. To provide the appropriate power supply to these needs, there must be a plan for the provision of electricity by making prediction or ...
Hartono, Marifa Ahmad Arif, Sadikin M.
doaj   +1 more source

Non-linear optimization of the material constants in Ogden's strain-energy function for incompressible isotropic elastic materials [PDF]

open access: yes, 1981
The Levenberg—Marquardt non—linear least squares optimization algorithm is adapted to compute the material constants in Ogden' s strain—energy function for incompressible isotropic elastic materials. In previous papers, three terms have been included in
Ogden, R W, Twizell, E H
core  

Continuum Mechanics Modeling of Flexible Spring Joints in Surgical Robots

open access: yesAdvanced Robotics Research, EarlyView.
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

A pH-based pedotransfer function for scaling saturated hydraulic conductivity reduction: improved estimation of hydraulic dynamics in HYDRUS [PDF]

open access: yes, 2019
Hydraulic conductivity is a key soil property governing agricultural production and is thus an important parameter in hydrologic modeling. The pH scaling factor for saturated hydraulic conductivity (Ks) reduction in the HYDRUS model was reviewed and ...
Ali, Aram   +3 more
core   +3 more sources

A High‐Throughput Live Imaging Platform to Investigate Circuit‐Dependent Regulation of Circadian Rhythms in Brain Tissue

open access: yesAdvanced Science, EarlyView.
Biological rhythms coordinate physiology, from genes to behavior. Study of circadian rhythms in brain tissue is constrained by limited throughput and spatial and temporal information quality. A new platform for high‐throughput, long‐term multiplexed fluorescent live imaging of circadian rhythms in brain slices is introduced.
Marco Ferrari   +3 more
wiley   +1 more source

Monopulse forward-looking imaging algorithm based on Levenberg–Marquardt optimisation

open access: yesThe Journal of Engineering, 2019
With precise angle measurement, traditional monopulse techniques for forward-looking imaging can acquire exact angle information of one single target within a radar beam. However, when multiple targets exist in a beam, it is difficult to resolve them. To
Tao Zhou   +4 more
doaj   +1 more source

Improving Robot Precision Positioning Using a Neural Network Based on Levenberg Marquardt–APSO Algorithm

open access: yesIEEE Access, 2021
This paper proposes a robot calibration method that uses an extended Kalman filter (EKF) and a neural network based on Levenberg–Marquardt combined accelerated particle swarm optimization (LMAPSO) to improve the accuracy of the robot’s ...
Ha Xuan Nguyen   +5 more
doaj   +1 more source

Integral-Based Identification of an Inhomogeneity Model in Respiratory Mechanics [PDF]

open access: yes, 2012
4-pagesIndividualized models of respiratory mechanics may help to reduce potential harmful effects of ventilation therapy by predicting the outcome of certain ventilator settings.
Chase, J.G.   +3 more
core  

Predicting Performance of Hall Effect Ion Source Using Machine Learning

open access: yesAdvanced Intelligent Systems, Volume 7, Issue 3, March 2025.
This study introduces HallNN, a machine learning tool for predicting Hall effect ion source performance using a neural network ensemble trained on data generated from numerical simulations. HallNN provides faster and more accurate predictions than numerical methods and traditional scaling laws, making it valuable for designing and optimizing Hall ...
Jaehong Park   +8 more
wiley   +1 more source

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