Abstract
We applied genetic algorithm to optimize the parameters of support vector machine for improving prediction accuracy. The proposed method is measured experimentally in 16-QAM coherent communication system for mitigating the fiber-nonlinearity-induced impairments.
© 2017 Optical Society of America
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