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

Antal Urmos, Mark Farkas, Laszlo T. Koczy, Akos Nemcsics

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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

Original languageEnglish
Title of host publicationICSSE 2013 - IEEE International Conference on System Science and Engineering, Proceedings
Pages313-318
Number of pages6
DOIs
Publication statusPublished - Nov 18 2013
EventIEEE International Conference on System Science and Engineering, ICSSE 2013 - Budapest, Hungary
Duration: Jul 4 2013Jul 6 2013

Publication series

NameICSSE 2013 - IEEE International Conference on System Science and Engineering, Proceedings

Other

OtherIEEE International Conference on System Science and Engineering, ICSSE 2013
CountryHungary
CityBudapest
Period7/4/137/6/13

ASJC Scopus subject areas

  • Control and Systems Engineering

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    Urmos, A., Farkas, M., Koczy, L. T., & Nemcsics, A. (2013). Quantum structure classification by Kohonen Self-Organizing Map and by Fuzzy C-Means algorithm. In ICSSE 2013 - IEEE International Conference on System Science and Engineering, Proceedings (pp. 313-318). [6614682] (ICSSE 2013 - IEEE International Conference on System Science and Engineering, Proceedings). https://doi.org/10.1109/ICSSE.2013.6614682