DocumentCode
423970
Title
On the approach to synthesis of forecasting Markov networks
Author
Baranov, Sergey N.
Author_Institution
Res. Group, Russian Aviation Co., Moscow, Russia
Volume
3
fYear
2004
fDate
25-29 July 2004
Firstpage
1875
Abstract
An approach to synthesis of Markov networks for forecasting fatigue failures is proposed. The technique is based on processing of observed spectral structure characteristics. Both statistical modeling and data analysis with the aid of Kohonen self-organizing feature maps are used. The synthesis may be carried out in case of uncertainties: absence of complete information on damage types and their connections is assumed.
Keywords
Markov processes; data analysis; fatigue; network synthesis; self-organising feature maps; statistical analysis; Kohonen self organizing feature maps; data analysis; forecasting Markov networks; spectral structure characteristics; statistical modeling; Data analysis; Differential equations; Electronic mail; Fatigue; Histograms; Markov random fields; Network synthesis; Neural networks; Self organizing feature maps; Uncertainty;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks, 2004. Proceedings. 2004 IEEE International Joint Conference on
ISSN
1098-7576
Print_ISBN
0-7803-8359-1
Type
conf
DOI
10.1109/IJCNN.2004.1380896
Filename
1380896
Link To Document