Application of self-adapting regularization, machine learning tools and limits in Levenberg–Marquardt algorithm to solve CNLS problem-Reference-Cited by-同舟云学术

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Application of self-adapting regularization, machine learning tools and limits in Levenberg–Marquardt algorithm to solve CNLS problem

Published:2023-06 Issue: Volume:939 Page:117420
ISSN:1572-6657
Container-title:Journal of Electroanalytical Chemistry
language:en
Short-container-title:Journal of Electroanalytical Chemistry

Author:

Žic Mark,Pereverzyev Sergiy

Funder

Österreichischen Akademie der Wissenschaften

Österreichische Forschungsförderungsgesellschaft

Publisher

Elsevier BV

Subject

Electrochemistry,General Chemical Engineering,Analytical Chemistry

Reference52 articles.

1. A nonlinear least-squares fit procedure for analysis of immittance data of electrochemical systems;Boukamp;Solid State Ionics,1986

2. A package for impedance admittance data-analysis;Boukamp;Solid State Ionics,1986

3. An alternative approach to solve complex nonlinear least-squares problems;Žic;J. Electroanal. Chem.,2016

4. Influence of the Discretization Methods on the Distribution of Relaxation Times Deconvolution: Implementing Radial Basis Functions with DRTtools;Wan;Electrochim. Acta,2015

5. The use of regularization methods in the deconvolution of underlying distributions in electrochemical processes;Dion;J. Electroanal. Chem.,1999

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