基于Kohonen自组织映射和模糊c均值算法的量子结构分类

A. Urmos, M. Farkas, L. Kóczy, Á. Nemcsics
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引用次数: 2

摘要

目前,以自组装方式形成的纳米结构在基础科学和应用科学中都得到了广泛的研究。本文研究了用外延法生长的III-V化合物半导体基材料的结构。在Microsoft©Visual Studio 2008开发环境下,采用c#语言开发的测试版Quantum Structure Analyzer 1.0对该过程进行了分析。该软件在Kohonen自组织地图(SOM)算法和模糊c均值算法的帮助下运行。在本文的前言中,我们简要介绍了分子束外延(MBE),然后介绍了在该软件中应用的算法。最后,我们演示了程序的结果。
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Quantum structure classification by Kohonen Self-Organizing Map and by Fuzzy C-Means algorithm
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.
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