Normalized Adaptive Exponential Functional Link Network

A #Generic Code of Non-linear System Identification Using Normalized Adaptive Exponential Functional Link (AEFLN) Network

Sie verfolgen jetzt diese Einreichung

In this code, we will identify a nonlinear system using the most recent normalized adaptive exponential functional link network (AEFLN)-based adaptive filter.

The nonlinearity is defined in Case-II of our paper, which is mostly used in the existing non-linear ANC papers.

V. Patel, V. Gandhi, S. Heda, and N. V. George, “Design of Adaptive Exponential Functional Link Network-Based Nonlinear Filters,” IEEE Transactions on Circuits and Systems I: Regular Papers, vol. 63, no. 9, pp. 1434–1442, 2016.

All the parameters used in this code are in coordinance with the parameters used in Case-II of the above paper.

The code is nicely scripted. Hope this helps!!!!!

Zitieren als

Dwaipayan Ray (2026). Normalized Adaptive Exponential Functional Link Network (https://de.mathworks.com/matlabcentral/fileexchange/69849-normalized-adaptive-exponential-functional-link-network), MATLAB Central File Exchange. Abgerufen .

Kategorien

Mehr zu Deep Learning Toolbox finden Sie in Help Center und MATLAB Answers

Allgemeine Informationen

Kompatibilität der MATLAB-Version

  • Kompatibel mit allen Versionen

Plattform-Kompatibilität

  • Windows
  • macOS
  • Linux
Version Veröffentlicht Versionshinweise Action
1.0.0