Semiconductor Laser Modeling With Anfis
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Date
2009
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Green Open Access
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Abstract
In this study, neuro-fuzzy (NF) models are used which are well-known robust learning systems that combine the advantages of fuzzy sets and neuro-computation theory. Particularly, a single model based on the adaptive network-based fuzzy inference system (ANFIS) is successfully developed from the amplified spontaneous emission (ASE) spectra of a semiconductor laser diode in order to obtain the critical quantities and their dependences on wavelength and currents. These critical quantities are the differential gain, the induced effective index change and the linewidth enhancement factor (α parameter). The comparison of single model results and the experimental measurements validate the presented approach. ©2009 IEEE.
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Turkish CoHE Thesis Center URL
Fields of Science
0103 physical sciences, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, 01 natural sciences
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1
Source
2009 International Conference on Application of Information and Communication Technologies, AICT 2009 -- 2009 International Conference on Application of Information and Communication Technologies, AICT 2009 -- 14 October 2009 through 16 October 2009 -- Baku -- 79447
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1
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4
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Scopus : 7
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