Neural equalizer trained by the artificial immune system learning algorithm

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. 
DOI: 10.1109/IJCNN.2013.6707104

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