•  
  •  
 

International Journal of Electronics and Electical Engineering

Abstract

This paper proposes a functional link artificial neural network(FLANN) model trained using a modified fish swarm optimization (FSO) algorithm for nonlinear system identification. The system modelling problem has been reformulated as an optimization problem. The FSO algorithm has been modified by incorporating the immunity features of the artificial immune systems. Simulation study reveals improved performance of the proposed algorithm over the conventional FSO algorithm for nonlinear system identification.

Share

COinS
 
 

To view the content in your browser, please download Adobe Reader or, alternately,
you may Download the file to your hard drive.

NOTE: The latest versions of Adobe Reader do not support viewing PDF files within Firefox on Mac OS and if you are using a modern (Intel) Mac, there is no official plugin for viewing PDF files within the browser window.