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
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;
Conference_Titel :
System Science and Engineering (ICSSE), 2013 International Conference on
Conference_Location :
Budapest
Print_ISBN :
978-1-4799-0007-7
DOI :
10.1109/ICSSE.2013.6614682
