Results 21 to 30 of about 5,452,386 (223)

Improving Levenberg-Marquardt Algorithm for Neural Networks [PDF]

arXiv.org, 2022
We explore the usage of the Levenberg-Marquardt (LM) algorithm for regression (non-linear least squares) and classification (generalized Gauss-Newton methods) tasks in neural networks.
Omead Brandon Pooladzandi, Yiming Zhou
semanticscholar   +1 more source

Improved prediction accuracy of biomass heating value using proximate analysis with various ANN training algorithms

Results in Engineering, 2022
The conventional experimental methods to determine biomass heating value are laborious and costly. Numerous correlations to estimate biomass' higher heating values have been proposed using proximate analysis.
Ibham Veza, Irianto, Hitesh Panchal, Permana Andi Paristiawan, Muhammad Idris, I.M. Rizwanul Fattah, Nicky R. Putra, Rajendran Silambarasan   +7 more
doaj   +1 more source

Fuzzy Wavelet Neural Network with the Improved Levenberg–Marquardt Algorithm for the AC Servo System

Complexity, 2021
In this study, a fuzzy wavelet neural network with the improved Levenberg–Marquardt algorithm (FWNN-LM) is proposed to conquer nonlinearity and uncertain disturbance problems in the AC servo system.
Run-Min Hou, Di-Fen Shi, Qiang Gao, Yuan-Long Hou   +3 more
doaj   +1 more source

Applicability of Common Algorithms in Species–Area Relationship Model Fitting

Diversity, 2022
The species–area relationship (SAR) describes a law of species richness changes as the sampling area varies. SAR has been studied for more than 100 years and is of great significance in the fields of biogeography, population ecology, and conservation ...
Zhidong Liu, Xiaoke Liu, Tsung-Jen Shen
doaj   +1 more source

Polarization Voltage Characterization of Lithium-Ion Batteries Based on a Lumped Diffusion Model and Joint Parameter Estimation Algorithm

Energies, 2022
Polarization is a universal phenomenon that occurs inside lithium-ion batteries especially during operation, and whether it can be accurately characterized affects the accuracy of the battery management system. Model-based approaches are commonly adopted
Bizhong Xia, Bo Ye, Jianwen Cao
doaj   +1 more source

A Novel Fuzzy Controller for Visible-Light Camera Using RBF-ANN: Enhanced Positioning and Autofocusing

Sensors, 2022
To obtain high-precision for focal length fitting and improve the visible-light camera autofocusing speed, simultaneously, the backlash caused by gear gaps is eliminated.
Junpeng Zhou, Letang Xue, Yan Li, Lihua Cao, Changqing Chen   +4 more
doaj   +1 more source

Non-linear carbon dioxide determination using infrared gas sensors and neural networks with Bayesian regularization [PDF]

, 2009
Carbon dioxide gas concentration determination using infrared gas sensors combined with Bayesian regularizing neural networks is presented in this work.
Almeida, Breda Kiernan, Cai, Conor Slater, Corrado, Costi, Dermot Diamond, Diamond, Dickens, Gallardo, Hagan, Hanrahan, Henkel, Kanu, Kiernan, King-Tong Lau, Lampinen, Li, Lombardi, Mackay, Mackay, Moreno-Baron, Mosher, Mulrooney, Spokas, Squire, Weimin Guo, Yin   +27 more
core   +1 more source

Local Levenberg-Marquardt Algorithm for Learning Feedforwad Neural Networks

Journal of Artificial Intelligence and Soft Computing Research, 2020
This paper presents a local modification of the Levenberg-Marquardt algorithm (LM). First, the mathematical basics of the classic LM method are shown. The classic LM algorithm is very efficient for learning small neural networks.
J. Bilski, Bartosz Kowalczyk, A. Marchlewska, J. Zurada   +3 more
semanticscholar   +1 more source

Improvement of Levenberg-Marquardt algorithm during history fitting for reservoir simulation

Petroleum Exploration and Development, 2016
In order to estimate reservoir parameters more effectively by history fitting, DE (Differential Evolution) was proposed to estimate the optimum damping factor so that the standard Levenberg-Marquardt algorithm was improved, and the improved algorithm was
Xian ZHANG, A A AWOTUNDE
doaj   +1 more source

Diesel Generator Model Parameterization for Microgrid Simulation Using Hybrid Box-Constrained Levenberg-Marquardt Algorithm [PDF]

IEEE Transactions on Smart Grid, 2020
Existing generator parameterization methods, typically developed for large turbine generator units, are difficult to apply to small kW-level diesel generators in microgrid applications. This article presents a model parameterization method that estimates
Q. Long, Hui Yu, Fuhong Xie, Ning Xie, D. Lubkeman   +4 more
semanticscholar   +1 more source