Title :
On the approach to synthesis of forecasting Markov networks
Author :
Baranov, Sergey N.
Author_Institution :
Res. Group, Russian Aviation Co., Moscow, Russia
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;
Conference_Titel :
Neural Networks, 2004. Proceedings. 2004 IEEE International Joint Conference on
Print_ISBN :
0-7803-8359-1
DOI :
10.1109/IJCNN.2004.1380896
