A Multi-layer Perseptron Network Model for a Quantum-well Laser Diode

Celebi F. V., DANIŞMAN K.

International Conference on Computing and Informatics, Kuala-Lumpur, Malezya, 6 - 08 Haziran 2006, ss.601-602 identifier identifier

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Basıldığı Şehir: Kuala-Lumpur
  • Basıldığı Ülke: Malezya
  • Sayfa Sayıları: ss.601-602
  • Erciyes Üniversitesi Adresli: Evet

Özet

This study presents a different approach to compute the modal peak gain, differential modal refractive index change, and the linewidth enhancement factor (alpha parameter) of an InGaAs deep quantum-well laser sample from a single model. Each of these optical quantities requires many calculations with the use of different theories, assumptions, and estimations in addition to strong background knowledge. The approach is based on artificial neural networks (ANNs) which are capable of representing complex input/output relationship. The model results agree well with the measured data from an InGaAs quantum-well (QW) laser sample.