Yıl 2015,
Cilt: 3 Sayı: 3, 101 - 106, 13.11.2015
Öz
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.
Anahtar Kelimeler
Kaynakça
- D. Marcuse, Theory of Dielectric Optical Waveguides (Academic Press, New York, 1974).
- A.W. Snyder, J.D. Love, Optical Waveguide Theory (J.W. Arrowsmith, Bristol, 1983).
- J. M. Senior, Optical Fiber Communications (Second Edition, Prentice-Hall, Cambridge, 1992).
- J.M. Zurada, Introduction to Artificial Neural Systems (St. Paul, MN:West Publishing Company, 1992).
- R.J. Schalkoff, Artificial Neural Networks, (McGraw-Hill, Singarope, 1997).
- S. Haykin, Neural Networks: A Comprehensive Foundation (Newyork: Mcamillan and IEEE Computer Society, 1999).
- S.E. Watkins, G.W. Sanders, F. Akhavan and K. Chandrashekhara "Modal analysis using fiber optic sensors and neural networks for prediction of composite beam delamination", Smart Materials and Structures, 11, 489-495 (2002).
- O.G. Saracoglu, "An artificial neural network approach for the prediction of absorption measurements of an evanescent field fiber sensor", Sensors, 8, 1585- 1594 (2008).
- H.S. Efendioglu, O. Toker, T. Yildirim, K. Fidanboylu, "Intelligent fiber optic statistical mode sensors using novel features and artificial neural networks", Proc. SPIE 8693, Smart Sensor Phenomena, Technology, Networks, and Systems Integration (2013).
- P. Ozkan Bakbak, Optical Coupler Design, MSc Thesis (Yildiz Technical University 2008).
- J. Park, W.I. Sandberg, "Universal Approximation Using Radial Basis Function Networks", Neural Computation, Vol. 3, pp. 246-257 (1991).
Yıl 2015,
Cilt: 3 Sayı: 3, 101 - 106, 13.11.2015
Öz
Kaynakça
- D. Marcuse, Theory of Dielectric Optical Waveguides (Academic Press, New York, 1974).
- A.W. Snyder, J.D. Love, Optical Waveguide Theory (J.W. Arrowsmith, Bristol, 1983).
- J. M. Senior, Optical Fiber Communications (Second Edition, Prentice-Hall, Cambridge, 1992).
- J.M. Zurada, Introduction to Artificial Neural Systems (St. Paul, MN:West Publishing Company, 1992).
- R.J. Schalkoff, Artificial Neural Networks, (McGraw-Hill, Singarope, 1997).
- S. Haykin, Neural Networks: A Comprehensive Foundation (Newyork: Mcamillan and IEEE Computer Society, 1999).
- S.E. Watkins, G.W. Sanders, F. Akhavan and K. Chandrashekhara "Modal analysis using fiber optic sensors and neural networks for prediction of composite beam delamination", Smart Materials and Structures, 11, 489-495 (2002).
- O.G. Saracoglu, "An artificial neural network approach for the prediction of absorption measurements of an evanescent field fiber sensor", Sensors, 8, 1585- 1594 (2008).
- H.S. Efendioglu, O. Toker, T. Yildirim, K. Fidanboylu, "Intelligent fiber optic statistical mode sensors using novel features and artificial neural networks", Proc. SPIE 8693, Smart Sensor Phenomena, Technology, Networks, and Systems Integration (2013).
- P. Ozkan Bakbak, Optical Coupler Design, MSc Thesis (Yildiz Technical University 2008).
- J. Park, W.I. Sandberg, "Universal Approximation Using Radial Basis Function Networks", Neural Computation, Vol. 3, pp. 246-257 (1991).
Toplam 11 adet kaynakça vardır.
Ayrıntılar
| Birincil Dil | İngilizce |
|---|---|
| Bölüm | Research Article |
| Yazarlar | |
| Yayımlanma Tarihi | 13 Kasım 2015 |
| Yayımlandığı Sayı | Yıl 2015 Cilt: 3 Sayı: 3 |