Prediction of 12 Photonic Crystal Fiber Optical Properties Using MLP in Deep Learning
Author:
Affiliation:
1. School of Electrical and Computer Engineering, College of Engineering, University of Georgia, Athens, GA, USA
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Atomic and Molecular Physics, and Optics,Electronic, Optical and Magnetic Materials
Link
http://xplorestaging.ieee.org/ielx7/68/9739819/09729240.pdf?arnumber=9729240
Reference12 articles.
1. Transverse characterization of high air-fill fraction tapered photonic crystal fiber
2. Fabrication and study of microstructured optical fibers with elliptical holes
3. Terahertz detection of alcohol using a photonic crystal fiber sensor
4. Numerical demonstration of triangular shaped photonic crystal fibre‐based biosensor in the Terahertz range
5. Scattering losses in optic fiber materials. I. A new parametrization
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