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Conference Paper
Latin America Optics and Photonics Conference
Recife Brazil
September 27-30, 2010
ISBN: 978-1-55752-903-9
Postdeadline Papers Session (PDPT)

Efficient Neural Network Modeling of Photonic Crystal Fiber Chromatic Dispersion

V. F. Rodríguez-Esquerre, J. J. Isídio-Lima, and A. Dourado-Sisnando

http://dx.doi.org/10.1364/LAOP.2010.PDPTuK1


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Abstract

The chromatic dispersion of photonic crystal fibers has been successfully and efficiently computed by using an artificial neural network. By using ANN we can easily evaluate the properties of PCFs without needing numerical computations.

© 2010 The Optical Society

OCIS Codes
(000.4430) General : Numerical approximation and analysis
(060.2270) Fiber optics and optical communications : Fiber characterization
(060.4510) Fiber optics and optical communications : Optical communications
(200.4260) Optics in computing : Neural networks
(260.2030) Physical optics : Dispersion

Citation
V. F. Rodríguez-Esquerre, J. J. Isídio-Lima, and A. Dourado-Sisnando, "Efficient Neural Network Modeling of Photonic Crystal Fiber Chromatic Dispersion," in Latin America Optics and Photonics Conference, OSA Technical Digest (CD) (Optical Society of America, 2010), paper PDPTuK1.
http://www.opticsinfobase.org/abstract.cfm?URI=LAOP-2010-PDPTuK1


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