We demonstrated an ANN-based multiple-channel QoT predictor over a 563.4-km field-trial testbed. The proposed ANN-based approach predicted Q-factors of the planning unestablished channels and the existed channels with maximum error of 0.06dB. The predictions provide important prior-information for dynamic reconfigurations of low-margin optical networks.
