Results 201 to 210 of about 54,005 (235)
Some of the next articles are maybe not open access.
A new robust correntropy based Levenberg-Marquardt algorithm
2016 Iran Workshop on Communication and Information Theory (IWCIT), 2016Recently, there has been much interest in information theoretic learning (ITL) criteria, widely used in several applications with different robust algorithms. Dealing with the rate convergence of the information theoretic robust approaches, we introduce a fast novel correntropy based algorithm, as correntropy based Levenberg-Marquardt (CLM), and apply ...
Ahmad Reza Heravi, Ghosheh Abed Hodtani
openaire +1 more source
Levenberg-Marquardt iterative algorithm for Hammerstein nonlinear systems
2015 International Conference on Control, Automation and Information Sciences (ICCAIS), 2015In this paper, we study the identification problem of Hammerstein nonlinear systems. A Levenberg-Marquardt iterative (LMI) algorithm is developed for Hammerstein nonlinear systems. The basic idea is to establish a Hammerstein nonlinear model by means of the key-term separation principle and then derive the LMI algorithm by replacing the unmeasurable ...
Lincheng Zhou +3 more
openaire +1 more source
Speech Recognition Using ARMA Model and Levenberg-Marquardt Algorithm
Accepted ...Jafari, Reza, Jafari, Amir H.
openaire +1 more source
A new Levenberg–Marquardt type algorithm for solving nonsmooth constrained equations
Applied Mathematics and Computation, 2014zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Ling, Chen, Wang, Guifeng, He, Hongjin
openaire +1 more source
Proceedings of the 2013 International Conference on Advanced Mechatronic Systems, 2013
In order to overcome the insufficiencies of the convergence of the low speed, a low precision of the forecast and easy convergence to a local minimum point of error function on BP Neural Networks (BPNN), a new hybrid algorithm-LMBRGA, which uses both the Levenberg-Marquardt(LM) Bayesian Regularization Algorithm(LMBRA) and Genetic Algorithm(GA) to ...
Feng Song, Hongchun Wang
openaire +1 more source
In order to overcome the insufficiencies of the convergence of the low speed, a low precision of the forecast and easy convergence to a local minimum point of error function on BP Neural Networks (BPNN), a new hybrid algorithm-LMBRGA, which uses both the Levenberg-Marquardt(LM) Bayesian Regularization Algorithm(LMBRA) and Genetic Algorithm(GA) to ...
Feng Song, Hongchun Wang
openaire +1 more source
Levenberg-Marquardt algorithms for unconstrained multicriteria optimization p
Operations Research Letters, 2008To compute one of the nonisolated Pareto-critical points of an unconstrained multicriteria optimization problem a Levenberg–Marquardt algorithm is applied. Sufficient conditions for an error bound are provided to prove its fast local convergence. A globalized version is shown to converge to a Pareto-optimal point under convexity assumptions.
Shukla, Pradyumn Kumar, Fischer, Andreas
openaire +1 more source
The Parallel Modification to the Levenberg-Marquardt Algorithm
2018The paper presents a parallel approach to the Levenberg-Marquardt algorithm (also called LM or LMA). The first section contains the mathematical basics of the classic LMA. Then the parallel modification to LMA is introduced. The classic Levenberg-Marquardt algorithm is sufficient for a training of small neural networks.
Jarosław Bilski +2 more
openaire +1 more source
Image mosaic via improved Levenberg-Marquardt algorithm
Journal of Computer Applications, 2009Teng-jiao WANG, Li-zhi CHENG
openaire +1 more source
Clinical management of metastatic colorectal cancer in the era of precision medicine
Ca-A Cancer Journal for Clinicians, 2022, Davide Ciardiello, Giulia Martini
exaly
Levenberg--Marquardt Training Algorithms for Random Neural Networks
The Computer Journal, 2009S. Basterrech +3 more
openaire +1 more source