Representation for dispersion formula of optical fiber using hybrid technique

Research output: Contribution to journalArticle

2 Citations (Scopus)

Abstract

Genetic Algorithm (GA) has been used to find the optimal neural network (NN) solution (i.e., hybrid technique) which represents dispersion formula of optical fiber. An efficient NN has been designed by GA to simulate the dynamics of the optical fiber system which is nonlinear. Without any knowledge about the system, we have used the input and output data to build a prediction model by NN. The neural network has been trained to produce a function that describes nonlinear system which studies the dependence of the refractive index of the fiber core on the wavelength and temperature. The trained NN model shows a good performance in matching the trained distributions. The NN is then used to predict refractive index that is not presented in the training set. The predicted refractive index had been matched to the experimental data effectively.

Original languageEnglish
Pages (from-to)205-213
Number of pages9
JournalInternational Journal of Modern Physics C
Volume19
Issue number2
DOIs
Publication statusPublished - Feb 2008

Fingerprint

Optical Fiber
Optical fibers
optical fibers
Neural Networks
Neural networks
Refractive Index
Refractive index
refractivity
genetic algorithms
Genetic Algorithm
Genetic algorithms
Neural Network Model
Prediction Model
nonlinear systems
Nonlinear Systems
Experimental Data
Nonlinear systems
Fiber
Wavelength
education

Keywords

  • Genetic algorithm
  • Neural network
  • Refractive index
  • Temperature
  • Wavelength

ASJC Scopus subject areas

  • Statistical and Nonlinear Physics
  • Mathematical Physics
  • Physics and Astronomy(all)
  • Computer Science Applications
  • Computational Theory and Mathematics

Cite this

Representation for dispersion formula of optical fiber using hybrid technique. / Radi, Amr.

In: International Journal of Modern Physics C, Vol. 19, No. 2, 02.2008, p. 205-213.

Research output: Contribution to journalArticle

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