NDLI: Quantum structure classification by Kohonen Self-Organizing Map and by Fuzzy C-Means algorithm

Content Provider	IEEE Xplore Digital Library
Author	Urmos, A. Farkas, M. Koczy, L.T. Nemcsics, A.
Copyright Year	2013
Description	Author affiliation: Dept. of Autom., Szechenyi Istvan Univ., Györ, Hungary (Koczy, L.T.) \|\| Sch. of Appl. Inf., Obuda Univ., Budapest, Hungary (Urmos, A.) \|\| Inst. of Microelectron. & Technol., Obuda Univ., Budapest, Hungary (Nemcsics, A.) \|\| Nexogen Ltd., Budapest, Hungary (Farkas, M.)
Abstract	Nowadays the nanostructures, formed on the way of self assembly are intensively investigated both in the basic and the applied sciences. In our paper, we investigate the structures on III-V compund semiconductor based materials, which are grown by epitaxial process. This process is analized by the beta version of Quantum Structure Analyzer 1.0, which is developed in C# langague, in the Microsoft© Visual Studio 2008 development environment. This software operates with the help of the Kohonen Self-Organizing Maps (SOM) algorithm and with the help of the Fuzzy C-Means algorithm. In present work, in the preface we give a short introduction of Molecular Beam Epitaxy (MBE), after this we introduce the algorithms, applied in this software. Finally, we demonstrate the results of the program.
Starting Page	313
Ending Page	318
File Size	883481
Page Count	6
File Format	PDF
ISBN	9781479900077
ISSN	23250925
e-ISBN	9781479900091
DOI	10.1109/ICSSE.2013.6614682
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-07-04
Publisher Place	Hungary
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Neurons Quantum dots Software algorithms Clustering algorithms Molecular beam epitaxial growth Nanostructures Classification algorithms
Content Type	Text
Resource Type	Article

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