Neural network approach to crack identification

International Journal of Applied Electromagnetics and Mechanics

Volumn 9, Issue 4, 1998, Pages 391-398

  Sikora, R ^a   Chady, T ^a   Sikora, J ^b  

^a WEST POMERANIAN UNIVERSITY OF TECHNOLOGY   (Poland)

^b WARSAW UNIVERSITY OF TECHNOLOGY   (Poland)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER SOFTWARE; CONDUCTIVE MATERIALS; CRACKS; FEEDFORWARD NEURAL NETWORKS; IDENTIFICATION (CONTROL SYSTEMS); MATHEMATICAL MODELS; MULTILAYER NEURAL NETWORKS; TRANSDUCERS;

CRACK IDENTIFICATION;

EDDY CURRENT TESTING;

EID: 0032188617     PISSN: 13835416     EISSN: None     Source Type: Journal    
DOI: 10.3233/jae-1998-119     Document Type: Article

References (4)

1. A. Cichocki and R. Unbehauen, Neural Networks for Optimisation and Signal Processing, John Wiley & Sons, 1993.
2. R. Sikora, M. Komorowski and T. Chady, Defects investigation in conducting sheets by eddy current method, Internal report, 1994 (in Polish).
3. F.C. Morabito, R. Albanese, E. Coccorese, R. Martone and G. Rubinacci, Identification of circular holes in thin plates using a neural network approach, in: International Symposium on Non-linear Electromagnetic Systems ISEM '95, Cardiff, Wales, UK, September 17-20, 1995.
4. S. Osowski, Neural Networks, Warsaw University of Technology, 1994.