Year 2015,
Volume: 3 Issue: 3, 101 - 106, 13.11.2015
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.
References
- 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).
Year 2015,
Volume: 3 Issue: 3, 101 - 106, 13.11.2015
Abstract
References
- 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).
There are 11 citations in total.
Details
| Primary Language | English |
|---|---|
| Journal Section | Research Article |
| Authors | |
| Publication Date | November 13, 2015 |
| Published in Issue | Year 2015 Volume: 3 Issue: 3 |