• 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