Lookup NU author(s): Dr Paul Haigh
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© 2019 IEEE.This paper evaluates the effect of training algorithms in an artificial neural network (ANN) equalizer for a feedforward multi-layer perceptron configuration in visible light communication systems using a low bandwidth organic light source. We test the scaled conjugate-gradient, conjugate-gradient backpropagation and Levenberg-Marquardt back propagation (LM) algorithms with 5, 10, 20, 30, and 40 neurons. We show that, LM offers superior bit error rate performance in comparison to other training algorithms based on the mean square error. The training methods can be selected based on the trade-off between complexity and performance.
Author(s): Nazari Chaleshtori Z, Haigh PA, Chvojka P, Zvanovec S, Ghassemlooy Z
Publication type: Conference Proceedings (inc. Abstract)
Publication status: Published
Conference Name: 2nd West Asian Colloquium on Optical Wireless Communications, WACOWC 2019
Year of Conference: 2019
Online publication date: 25/07/2019
Acceptance date: 02/04/2016
Publisher: Institute of Electrical and Electronics Engineers Inc.
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