Neural Boundary Conditions in Optic Guides
Journal Title: International Journal of Intelligent Systems and Applications in Engineering - Year 2015, Vol 3, Issue 3
Abstract
In this study, the boundary coefficients of Transverse Electric (TE) and Transverse Magnetic (TM) modes at a planar slab optic guides are modeled by Neural Networks (NN). After modal analysis, train and test files are prepared for NN. Multi-Layer Perceptron (MLP) and Radial Basis Function (RBF) neural networks are performed and compared with each other. NNs are expected to be capable of modeling optical fiber technology in industry based on the same approaches as a result of this study.
Authors and Affiliations
Pınar ÖZKAN BAKBAK| Yildiz Technical University, Department of Electronic and Communication Engineering, Davutpasa, 34220, Istanbul, Turkey
Keywords
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- EP ID EP780
- DOI 10.18201/ijisae.04354
- Views 388
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