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, cilt.15, ss.329-335, 2005 (SCI İndekslerine Giren Dergi) identifier identifier

  • Cilt numarası: 15 Konu: 3
  • Basım Tarihi: 2005
  • Doi Numarası: 10.1002/mmce.20077
  • Dergi Adı: INTERNATIONAL JOURNAL OF RF AND MICROWAVE COMPUTER-AIDED ENGINEERING
  • Sayfa Sayıları: ss.329-335

Özet

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.