Optical gain model proposed with the use of artificial neural networks optimised by artificial bee colony algorithm

Yigit S., ERYİĞİT R., Celebi F. V.

OPTOELECTRONICS AND ADVANCED MATERIALS-RAPID COMMUNICATIONS, vol.5, no.9, pp.1026-1029, 2011 (SCI-Expanded) identifier identifier

  • Publication Type: Article / Article
  • Volume: 5 Issue: 9
  • Publication Date: 2011
  • Journal Name: OPTOELECTRONICS AND ADVANCED MATERIALS-RAPID COMMUNICATIONS
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Page Numbers: pp.1026-1029
  • Keywords: Artificial bee colony, Artificial neural network, Modelling, Optimisation, Optical gain, Laser diodes, LINEWIDTH ENHANCEMENT FACTOR, ALPHA-PARAMETER, LASER-DIODES, QUANTUM, COMPUTATION, DESIGN
  • Ankara University Affiliated: Yes

Abstract

This study presents a simple and accurate optical gain model for a quantum-cascade laser (QCL) based on artificial neural networks (ANNs). The training process is performed with Artificial Bee Colony (ABC) optimisation algorithm which enables highly accurate results for the proposed optical gain model. The results are in very good harmony with the previously obtained experimental gain model.