Our site saves small pieces of text information (cookies) on your device in order to deliver better content and for statistical purposes. You can disable the usage of cookies by changing the settings of your browser. By browsing our site without changing the browser settings you grant us permission to store that information on your device.
SEVGI YIĞIT1, RECEP ERYIĞIT1, FATIH V. ÇELEBI1,*
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..
Artificial bee colony, Artificial neural network, Modelling, Optimisation, Optical gain, Laser diodes.
SEVGI YIĞIT, RECEP ERYIĞIT, FATIH V. ÇELEBI, Optical gain model proposed with the use of artificial neural networks optimised by artificial bee colony algorithm, Optoelectronics and Advanced Materials - Rapid Communications, 5, 9, September 2011, pp.1026-1029 (2011).
Submitted at: Aug. 1, 2011
Accepted at: Sept. 15, 2011
Optoelectronics and Advanced Materials - Rapid Communications
(2023): 0.5 - 2023 Journal Citation Reports (Clarivate Analytics, 2024)
Active accounts were imported to the new platform and assigned a random password by default. In order to access your account you need to access the login page and go through the Lost Password dialog (involves the system sending you an email with instructions) in order to reset your password. This step is necessary as passwords are kept in hashed form and the new platform uses modern hashing algorithms incompatible with the previous ones.