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Proceedings Paper

Hybridization of neural networks and genetic algorithms for identification of complex Bragg gratings
Author(s): Ali Rostami; Arash Yazdanpanah-Goharrizi; Amin Yazdanpanah-Goharrizi; F. Janabi-Sharifi
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Paper Abstract

In this paper a novel method for investigation of inverse scattering in optical complex mediums is proposed. The proposed method is based on Radial Basis Function Neural Networks (RBFNN) and Genetic Algorithms (GAs). Medium discrimination is performed by RBFNN and corresponding medium parameters identification is done using GAs. In the proposed method for simplicity the apodized, chirped and simultaneously apodized and chirped types of mediums are considered as RBFNN library. The proposed method tries to open a new insight to inverse scattering in optical devices and systems identification. The simulated results closely follow full numerical simulations to illustrate the ability of the proposed algorithm.

Paper Details

Date Published: 12 October 2006
PDF: 15 pages
Proc. SPIE 6374, Optomechatronic Actuators, Manipulation, and Systems Control, 63740W (12 October 2006); doi: 10.1117/12.684880
Show Author Affiliations
Ali Rostami, Univ. of Tabriz (Iran)
Arash Yazdanpanah-Goharrizi, Univ. of Tabriz (Iran)
Amin Yazdanpanah-Goharrizi, K. N. Toosi Univ. of Technology (Iran)
F. Janabi-Sharifi, Ryerson Univ. (Canada)

Published in SPIE Proceedings Vol. 6374:
Optomechatronic Actuators, Manipulation, and Systems Control
Farrokh Janabi-Sharifi; Yukitoshi Otani, Editor(s)

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