Applying Data Mining Methods to Structural Identification

Michaela Horalova Kalinova; German Michalconok; Darja Gabriska

doi:10.4028/www.scientific.net/AMR.605-607.2279

Paper Titles

Improved Vision Based Driving Space Analysis by Condensation of Image Data
p.2260

Application of the Compound Model of BP Neural Networks and Wavelet Transform in Image Definition Identification
p.2265

An EEG Analysis Research For Epileptics Using Probabilistic Neural Network
p.2270

Object-Oriented Zhangjiangkou Mangrove Communities Classification Using QuickBird Imagery
p.2274

Applying Data Mining Methods to Structural Identification
p.2279

Inter-Harmonic Detection Based on AR Model Spectral Estimation and Nonlinear Optimization
p.2284

Ranking Algorithms for Keyword Search over Relational Databases
p.2291

The Application of Bezier Curves about the Visualization of the Threaded Binary Tree
p.2297

Research and Design of the Automobile OBD Data State Monitoring System Based on the Android Phones
p.2301

HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 605-607Applying Data Mining Methods to Structural...

Applying Data Mining Methods to Structural Identification

Abstract:

The main purpose of this paper is to present the possibilities of applying data mining methods to the problem of structural identification of complex systems, focusing on the static structural system properties. In this paper we will define the main set of problems of structural identification and propose the way of their solution by means of data mining methods. A specific solution to selected problems is demonstrated on the model designed in the Matlab program. In the framework of experiment based on the results of simulation, we will identify the existence of internal relations in the system and analyze the degrees of their dependencies.

You might also be interested in these eBooks

Advanced Designs and Researches for Manufacturing

View Preview

Info:

Periodical:

Advanced Materials Research (Volumes 605-607)

Pages:

2279-2283

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.605-607.2279

Citation:

Cite this paper

Online since:

December 2012

Authors:

Michaela Horalova Kalinova, German Michalconok, Darja Gabriska

Keywords:

Complex System, Data Mining (DM), Structural Identification

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

References

[1] A. A. Alekseev: Identifikacia i diagnostika system, Moskva: Izdatelsky centr Akademia, (2009).

Google Scholar

[2] L. Huraj and H. Reiser: VO Intersection Trust in Ad hoc Grid Environments. In: Fifth International Conference on Networking and Services (ICNS 2009), Valencia, Spain, IEEE Computer Society, April 2009, pp.456-461.

DOI: 10.1109/icns.2009.31

Google Scholar

[3] L. Huraj, V. Siládi, J. Siláči: Comparison of Design and Performance of Snow Cover Computing on GPUs and Multi-core processors, In: WSEAS TRANSACTIONS on INFORMATION SCIENCE and APPLICATIONS, Issue 10, Volume 7, October 2010, pp.1284-1294, ISSN.

Google Scholar

[4] T. Kohonen: Self-Orginizing Maps, Springer, Berlin, Heidelberg, (1995).

Google Scholar

[5] L. Lacko: Datové sklady, analýza OLAP a dolování dat, Brno, Computer Press, (2003).

Google Scholar