In this paper, a new adjustment to the damping parameter of the Levenberg-Marquardt algorithm is proposed to save training time and to reduce error oscillations. The damping parameter of the Levenberg-Marquardt algorithm switches between a gradient descent method and the Gauss-Newton method. It also affects training speed and induces error oscillations when a decay rate is fixed. Therefore, our...

This paper proposes a novel online solution, i.e. Modified-Equilibrium Optimizer-Levenberg-Marquardt (M-EO-LM) algorithm, for the symmetric and asymmetric harmonic elimination pulse width modulation (HEPWM) methods of modular multilevel cascaded converters. A detailed comparison proposed M-EO-LM algorithm with nine state-of-the-art algorithms is also presented twenty-nine unimodal, multimodal c...

The objective of this study is to compare the predictive ability of Bayesian regularization with Levenberg–Marquardt Artificial Neural Networks. To examine the best architecture of neural networks, the model was tested with one-, two-, three-, four-, and five-neuron architectures, respectively. MATLAB (2011a) was used for analyzing the Bayesian regularization and Levenberg–Marquardt learning al...

We use different types of training algorithms in the neural network. But, we cannot say which kind algorithm is fast for a given problem. So, this survey paper, are trying to find better categorization problems. For purpose, used ten pattern network MATLAB. Levenberg-Marquardt (LM), Bayesian regularization backpropagation (BR), BFGS Quasi-Newton (BFG), Resilient Backpropagation (RP), Scaled Con...

Abstract The aim of the research is to develop a neural network model predict mechanical strength AZ31 magnesium alloy in addition with Calcium. This would help researchers or academicians fabricate AZ31+x wt. % Ca which finds more importance making biodegradable implants orthopedic surgery. As yield human bone lies between 104.9 – 114.3 MPa whereas for pure Mg it very lesser, needed make alloy...

Laser diffraction (LD) has many obvious advantages for measuring. However, the measurement accuracy is limited by a number of factors, such as imaging noise, sensor threshold, and fitting methods. In this paper, we present novel method measuring filament diameter based on image-based fitting, which maintains more information. Before image, image processing applied to solve problem noise non-lin...

Objective(s): This study aims to evaluate and predict the thermal conductivity of iron oxide nanofluid at different temperatures and volume fractions by artificial neural network (ANN) and correlation using experimental data. Methods: Two-layer perceptron feedforward artificial neural network and backpropagation Levenberg-Marquardt (BP-LM) tra...

Two kinds of the Levenberg-Marquardt-type methods for the solution of vertical complementarity problem are introduced. The methods are based on a nonsmooth equation reformulation of the vertical complementarity problem for its solution. Local and global convergence results and some remarks about the two kinds of the Levenberg-Marquardt-type methods are also given. Finally, numerical experiments...