Prediction of nonlinear system in optics using genetic programming

Research output: Contribution to journalArticle

3 Citations (Scopus)

Abstract

It is difficult to predict the dynamics of systems which are nonlinear and whose characteristic is unknown. In order to build a model of the system from input and output data without any knowledge about the system, we try automatically to build prediction model by Genetic Programming (GP). GP has been used to discover the function that describes nonlinear system to study the effect of wavelength and temperature on the refractive index of the fiber core. The predicted distribution from the GP based model is compared with the experimental data. The discovered function of the GP model has proved to be an excellent match to the experimental data.

Original languageEnglish
Pages (from-to)369-374
Number of pages6
JournalInternational Journal of Modern Physics C
Volume18
Issue number3
DOIs
Publication statusPublished - Mar 2007

Fingerprint

Genetic programming
programming
nonlinear systems
Genetic Programming
Nonlinear systems
Optics
Nonlinear Systems
optics
Prediction
predictions
Experimental Data
Prediction Model
Refractive Index
Programming Model
Refractive index
Fiber
Wavelength
refractivity
Predict
Unknown

Keywords

  • Genetic programming
  • Nonlinear
  • 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

Prediction of nonlinear system in optics using genetic programming. / Radi, Amr.

In: International Journal of Modern Physics C, Vol. 18, No. 3, 03.2007, p. 369-374.

Research output: Contribution to journalArticle

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