Journal of Automation and Information Sciences

ISSN for PRINT: 1064-2315

For Online Access

Best Paper Award Selection - Editorial Board Site

2007, Volume39

Issue 8

80 pages

DOI: 10.1615/JAutomatInfScien.v39.i8

Issue price - $238.00

Alexander N. Terentyev
Institute of Applied System Analysis of National Technical University of Ukraine "Kiev Polytechnical Institute", Kiev, Ukraine

Petr I. Bidyuk
Institute of Applied Systems Analysis of National Technical University of Ukraine "Kiev Polytechnical Institute", Kiev, Ukraine

L. A. Korshevnyuk
Institute of Applied System Analysis of National Technical University of Ukraine "Kiev Polytechnical Institute", Kiev, Ukraine

Bayesian networks (BN) represent a powerful tool of intelligent analysis of data of different nature. However, existing methods of constructing BN and forming probabilistic conclusions have a high computational complexity. We suggest using for BM construction an heuristic method, and an algorithm of forming probabilistic inference in BN on the basis of learning data for forming probabilistic inference. Experimental results and examples of application of BN are presented.

DOI: 10.1615/JAutomatInfScien.v39.i8.40 Download article, 28-38 pages

Article price - $35.00

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