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Proceedings Paper

Neural computation of alpha parameter with the use of differential gain, wavelength, and number of quantum wells
Author(s): Fatih V. Celebi; Kenan Danisman; Remzi Yildirim
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Paper Abstract

A different method to determine α (Alpha) parameter for different number of Quantum-wells is presented. The Levenberg-Marquardt algorithm is used to train the Artificial Neural Networks (ANNs) which has a quadratic speed of convergence. Both the computed and the test results are in very good agreement with the experimental results reported elsewhere.

Paper Details

Date Published: 25 March 2004
PDF: 4 pages
Proc. SPIE 5277, Photonics: Design, Technology, and Packaging, (25 March 2004); doi: 10.1117/12.523297
Show Author Affiliations
Fatih V. Celebi, Baskent Univ. (Turkey)
Kenan Danisman, Erciyes Univ. (Turkey)
Remzi Yildirim, Gazi Univ. (Turkey)

Published in SPIE Proceedings Vol. 5277:
Photonics: Design, Technology, and Packaging
Chennupati Jagadish; Kent D. Choquette; Benjamin J. Eggleton; Brett D. Nener; Keith A. Nugent, Editor(s)

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