Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 20 of 61 for “"Levenberg-Marquardt"”.
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Levenberg-Marquardt Algorithms for Nonlinear Equations, Multi-objective Optimization, and Complementarity Problems
The Levenberg-Marquardt algorithm is a classical method for solving nonlinear systems of equations that can come from various applications in engineering and economics. Recently, Levenberg-Marquardt methods turned out to be a valuable principle for obtaining fast convergence to a solution of the …
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A variation of the Levenberg Marquardt method : an attempt to improve efficiency
The Levenberg-Marquardt method is an efficient and popular damped least square technique. This method is a combination between the Gauss and the steepest gradient descent methods, where the amount of damping used in each iteration is central in establishing the behavior of the system. Further, the …
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Material parameter identification for modelling the left ventricle in the healthy state
… the work of Kerckhoffs. The projected Levenberg-Marquardt algorithm was used to identify material parameters. Identification of the anisotropic constants in the model of Usyk proved to be difficult, with the calibration algorithm often converging to parameter values that produced …
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Effect of Prostaglandin E2 on Mechanical Stresses Applied by MC3T3-E1 Osteoblast-like Cells on a Soft Hydrogel Substrate
… correlation program was developed using the Levenberg-Marquardt optimization algorithm to analyze images and compare the deformations between pairs of images. Comparisons of images before and after the addition of PE2 to the media showed differences in the substrate surface pattern, which was …
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The use of a neural network to recognize placental insufficiency from blood flow velocity waveforms in the umbilical cord
… trained successfully. These two networks are the Levenberg-Marquardt algorithm (Trainlm) and the resilient backpropagation algorithm (Trainrp).
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Improved cuckoo search based neural network learning algorithms for data classification
… conventional methods, some researchers prefer Levenberg-Marquardt (LM) because of its convergence speed and performance. On the other hand, LM algorithms which are derivative based algorithms still face a risk of getting stuck in local minima. Recently, a novel meta-heuristic search technique …
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Use of support vector machines and fabry-perot interferometry to classify states of a laser
… is used to reduce noise in each signal. Levenberg-Marquardt gradient descent is performed to correctly locate the center of each image and to optimize each fit with respect to the spatial frequency. The Fourier fit is used to extract important information from each image to be used for …
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Investigation of Intensity Correction in the Context of Image Registration
… measures. The algorithm utilises common Levenberg-Marquardt optimisation. The author has chosen two dimensional affine and one dimensional B-Spline model as spatial transformation, as well as intensity correction models specific to CT images. They are global non-linear mapping and smooth …
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ΕΦΑΡΜΟΓΕΣ ΤΩΝ ΕΚΛΕΚΤΙΚΩΝ ΗΛΕΚΤΡΟΔΙΩΝ ΣΕ ΜΕΛΕΤΕΣ ΑΛΛΗΛΕΠΙΔΡΑΣΗΣ ΔΙΑΦΟΡΩΝ ΙΟΝΤΩΝ ΜΕ ΤΗΝ ΑΛΒΟΥΜΙΝΗ
… PROGRAM IS BASED ON A MODIFIED GAUSS- NEWTON- LEVENBERG-MARQUARDT ALGORITHM AND HAS THE FOLLOWING NEW FEATURES: A) THE FITTING CAN BE PERFORMED FOR ANY NUMBER OF BINDING SITES AND DIRECTLY TO THE EXPERIMENTAL DATA (ELECTRODE POTENTIAL-TOTAL LIGAND CONCENTRATION), B) IT IS POSSIBLE TO CALCULATE …
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On improving the performance of the Gauss-Newton filter
… the Gauss-Newton filter is adapted using the Levenberg Marquardt method for improved convergence. In order to improve the computation requirements, a recursive version of the filter is obtained.
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South African sign language dataset development and translation : a glove-based approach
… collected. The Resilient Back-Propagation and Levenberg-Marquardt training algorithms were considered as the training algorithms for the neural network. The Levenberg-Marquardt algorithm had a superior classification accuracy achieving 99.61%, 77.42% and 81.72% accuracy on the type 1, type 2 …
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A blocked orthogonalization method for nonlinear regression
… with those of the Davidon-Fletcher-Powell, Levenberg-Marquardt, Gauss Hartley, and Grey algorithms. Acceleration of the new algorithm using Cornwell's Linear Acceleration Technique is also studied. Zangwill's convergence theory establishes validity of the new algorithm for the nonquadratic …
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A population Monte Carlo approach to estimating parametric bidirectional reflectance distribution functions through Markov random field parameter estimation
… based on Markov Chain Monte Carlo (MCMC) and Levenberg-Marquardt nonlinear minimization, where it is found to have better results for convergence to the known correct synthetic data parameter sets than the MCMC based methods, and similar convergence results to the LM method. The posterior …
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Exploring the COVID-19 cases around the World
… least squares regression by way of the Levenberg-Marquardt algorithm to estimate the parameters and we will find its respective MSE. ii) identifying the skewness parameters with least MSE for the first wave of COVID for all the countries as well as the intervention taken by each country …
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Magnetic Signature Estimation Using Neural Networks
… targets. The neural network is trained using the Levenberg-Marquardt algorithm and the back propagation method by comparing the estimated off-board magnetic field intensity to the true value. This research also investigates sensitivity, scalability, and implementation issues of the neural network …
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Computational Tools for Molecular Networks in Biological Systems
… and ODRPACK is used to perform (a trust region Levenberg-Marquardt based) local estimation of rate constants. One such transformation performed on the ODE solutions determines the value of the steady state of the ODE solutions. A new algorithm was developed that finds all steady state solutions …
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An Implementation of Field-Wise Wind Retrieval for Seawinds on QuikSCAT
… implementations are examined and quantified. The Levenberg-Marquardt algorithm for minimizing the field-wise objective function is presented. As the objective function has several near-global local minima, several wind fields represent ambiguous wind field estimates. A deterministic method is …
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A Proper Orthogonal Decomposition-based inverse material parameter optimization method with applications to cardiac mechanics
… The calibration method combines a MATLAB-based Levenberg Marquardt algorithm with the in-house PODIbased software ORION. The calibration results are then compared against the full-order solution which is obtained using an in-house code based on the element-free Galerkin method, which is assumed …
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Iterative Reconstruction Algorithms for Polyenergetic X-ray Computerized Tomography
… as a Newton-like method and an extension of the Levenberg-Marquardt-Fletcher algorithm. We explain how we can use the structure of the Radon matrix and the properties of FBP to make our method matrix-free and fast. Finally, we discuss how we regularize our problem by applying different …
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Estimation of the Real Area of Contact in Sliding Systems Using Thermal Measurements
… automata technique for the direct model and a Levenberg-Marquardt parameter estimation technique to stabilize inverse solutions. The modified cellular automata technique enables each piece of physics to be solved independently over a short time step, thus frequently allowing analytical …
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