An accurate optical gain model using adaptive neurofuzzy inference system

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Date

2009

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Publisher

National Institute of Optoelectronics

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Computer Engineering
(1998)
The Atılım University Department of Computer Engineering was founded in 1998. The department curriculum is prepared in a way that meets the demands for knowledge and skills after graduation, and is subject to periodical reviews and updates in line with international standards. Our Department offers education in many fields of expertise, such as software development, hardware systems, data structures, computer networks, artificial intelligence, machine learning, image processing, natural language processing, object based design, information security, and cloud computing. The education offered by our department is based on practical approaches, with modern laboratories, projects and internship programs. The undergraduate program at our department was accredited in 2014 by the Association of Evaluation and Accreditation of Engineering Programs (MÜDEK) and was granted the label EUR-ACE, valid through Europe. In addition to the undergraduate program, our department offers thesis or non-thesis graduate degree programs (MS).

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Abstract

This paper presents a single, simple, new and an accurate optical gain model based on adaptive neuro-fuzzy inference system (ANFIS) which combines the benefits of Artificial Neural Networks (ANNs) and Fuzzy Inference Systems (FISs). The dynamic optical gain model results are in very good agreement with the previously published experimental findings.

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Keywords

ANFIS, Laser diodes, Modelling, Optical gain, Optimization

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Citation

15

WoS Q

Q4

Scopus Q

Q4

Source

Optoelectronics and Advanced Materials, Rapid Communications

Volume

3

Issue

10

Start Page

975

End Page

977

URI

https://hdl.handle.net/20.500.14411/9236

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Scopus