Title :
Neural equalizer trained by the artificial immune system learning algorithm
Author :
Gouvea Coelho, Pedro Henrique ; Biondi Neto, Luiz
Author_Institution :
State Univ. of Rio de Janeiro, Rio de Janeiro, Brazil
Abstract :
This paper describes a neural network based equalizer trained by the artificial immune system learning algorithm. The equalizer takes advantage of the characteristics of neural nets and artificial immune systems. Simulations for channel responses examples indicate the usefulness of the proposed equalizer.
Keywords :
adaptive equalisers; artificial immune systems; intersymbol interference; learning (artificial intelligence); neural nets; telecommunication computing; adaptive equalizers; artificial immune system learning algorithm; channel responses; intersymbol interference; neural nets; neural network based equalizer; signal distortion; Biological neural networks; Cloning; Equalizers; Immune system; Learning (artificial intelligence); Neurons;
Conference_Titel :
Neural Networks (IJCNN), The 2013 International Joint Conference on
Conference_Location :
Dallas, TX
Print_ISBN :
978-1-4673-6128-6
DOI :
10.1109/IJCNN.2013.6707104
