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

✍ Scribed by M. Emin Yuksel; Ibrahim Develi

Publisher
John Wiley and Sons
Year
2005
Tongue
English
Weight
99 KB
Volume
15
Category
Article
ISSN
1096-4290

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✦ Synopsis

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.

📜 SIMILAR VOLUMES

Application of differential evolution al
Application of differential evolution algorithm to the modeling of laser diode nonlinearity in a radio-over-fiber network
✍ Ali Akdagli; M. Emin Yuksel 📂 Article 📅 2006 🏛 John Wiley and Sons 🌐 English ⚖ 82 KB

## Abstract In this paper, a simple and efficient method based on the differential evolution algorithm (DEA) is applied to the problem of modeling nonlinear characteristics of microwave intensity‐modulated laser diodes used in a radio‐over‐fiber (RoF) network. The performance of the presented metho