A neuro-fuzzy computing technique for modeling laser-diode nonlinearity in a radio-over-fibre link


Yuksel M. E., Develi I.

INTERNATIONAL JOURNAL OF RF AND MICROWAVE COMPUTER-AIDED ENGINEERING, vol.15, no.3, pp.329-335, 2005 (SCI-Expanded) identifier identifier

Abstract

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.
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.