Neuro-fuzzy (NF) models are well-known robust learning systems that combine the advantages of fuzzy sets and neurocomputation theory. This article presents the application of the NF approach to the computation of 3(rd)-order intermodulation power levels in microwave-intensity-modulated GaAlAs laser diodes for radio-over-fibre communications. The excellent agreement between the computed results and experimental measurements validates the presented NF approach. (c) 2005 Wiley Periodicals, Inc.
Neuro-fuzzy (NF) models are well-known robust learning systems that combine
the advantages of fuzzy sets and neurocomputation theory. This article presents the application of the NF approach to the computation of 3rd-order intermodulation power levels in microwave-intensity-modulated GaAlAs laser diodes for radio-over-fibre communications.
The excellent agreement between the computed results and experimental measurements
validates the presented NF approach.
