Patel, VinalVinalPatelPradhan, SomanathSomanathPradhanGeorge, Nithin V.Nithin V.George2025-08-302025-08-302017-10-23[9780992862671]10.23919/EUSIPCO.2017.80817002-s2.0-85041486963http://repository.iitgn.ac.in/handle/IITG2025/23009An adaptive exponential functional link artificial neural network (AEFLANN) based active noise control (ANC) system trained using a collaborative learning scheme has been designed in this paper. In the proposed approach, separate learning mechanism is used for updating the weights of the linear portion of the AEFLANN and its non-linear section. The outputs of the linear and non-linear sections are suitably combined and the update mechanism involves the update of weights of linear and non-linear portions, the combination parameter and the adaptive exponential factor. Simulation study shows enhanced noise cancellation in comparison with other non-linear ANC schemes compared.falseActive noise control | Functional link artificial neural network | Noise cancellation | Non-linear filterConference Paper2694-269823 October 20171280817003