PREDICTION OF NONLINEAR SYSTEM IN OPTICS USING GENETIC PROGRAMMING

Amr Radi ()
Additional contact information
Amr Radi: Physics Department, Ain Shams University, Cairo, Egypt

International Journal of Modern Physics C (IJMPC), 2007, vol. 18, issue 03, 369-374

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.

Keywords: Genetic programming; refractive index; temperature; wavelength; nonlinear (search for similar items in EconPapers)
Date: 2007
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
http://www.worldscientific.com/doi/abs/10.1142/S0129183107009777
Access to full text is restricted to subscribers

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:wsi:ijmpcx:v:18:y:2007:i:03:n:s0129183107009777

Ordering information: This journal article can be ordered from

DOI: 10.1142/S0129183107009777

Access Statistics for this article

International Journal of Modern Physics C (IJMPC) is currently edited by H. J. Herrmann

More articles in International Journal of Modern Physics C (IJMPC) from World Scientific Publishing Co. Pte. Ltd.
Bibliographic data for series maintained by Tai Tone Lim ().