DocumentCode
3263441
Title
Quantum structure classification by Kohonen Self-Organizing Map and by Fuzzy C-Means algorithm
Author
Urmos, Antal ; Farkas, Mark ; Koczy, Laszlo T. ; Nemcsics, Akos
Author_Institution
Sch. of Appl. Inf., Obuda Univ., Budapest, Hungary
fYear
2013
fDate
4-6 July 2013
Firstpage
313
Lastpage
318
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.
Keywords
III-V semiconductors; fuzzy set theory; gallium arsenide; materials science computing; molecular beam epitaxial growth; nanofabrication; nanostructured materials; pattern classification; quantum solids; self-assembly; self-organising feature maps; semiconductor epitaxial layers; visual programming; C# langague; GaAs; III-V compund semiconductor based materials; Kohonen self-organizing map; MBE; Microsoft Visual Studio 2008 development environment; SOM; applied sciences; epitaxial process; fuzzy c-means algorithm; molecular beam epitaxy; nanostructures; quantum structure analyzer 1.0; quantum structure classification; self assembly; Classification algorithms; Clustering algorithms; Molecular beam epitaxial growth; Nanostructures; Neurons; Quantum dots; Software algorithms;
fLanguage
English
Publisher
ieee
Conference_Titel
System Science and Engineering (ICSSE), 2013 International Conference on
Conference_Location
Budapest
ISSN
2325-0909
Print_ISBN
978-1-4799-0007-7
Type
conf
DOI
10.1109/ICSSE.2013.6614682
Filename
6614682
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