Structural damage localization using probabilistic neural networks

Mathematical and Computer Modelling

Volumn 54, Issue 3-4, 2011, Pages 965-969

  Li, Peng ^a  

^a EAST CHINA JIAOTONG UNIVERSITY   (China)

Author keywords

Damage localization; Probabilistic neural networks; Smoothing parameter

Indexed keywords

COMPOSITE PLATES; DAMAGE LOCALIZATION; DAMAGED STRUCTURES; DATA COLLECTION SYSTEM; FEATURE VECTORS; PROBABILISTIC NEURAL NETWORKS; SMOOTHING PARAMETER; STRUCTURAL DAMAGE LOCALIZATION; STRUCTURAL LOCATIONS;

DAMAGE DETECTION;

NEURAL NETWORKS;

EID: 79956110881     PISSN: 08957177     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.mcm.2010.11.023     Document Type: Article

References (10)

1. Capezzuto F., Ciampa F., Carotenuto G. A smart multifunctional polymer nanocomposites layer for the estimation of low velocity impact damage in composite structures. Composite Structures 2010, 92(8):1913-1919.
2. Pierce S.G., Dong F., Atherton K., Culshaw B., et al. Damage assessment in smart composite structures: the damascos programme. Air & Space Europe 2001, 3(3-4):132-138.
3. Tarapada R., Debabrata C. Optimal vibration control of smart fiber reinforced composite shell structures using improved genetic algorithm. Journal of Sound and Vibration 2009, 319(1-2):15-40.
4. Yuen K.V., Lam H.F. On the complexity of artificial neural networks for smart structures monitoring. Engineering Structures 2006, 28(7):977-984.
5. Lee J.J., Kim D., Chang S.K. An improved application technique of the adaptive probabilistic neural network for predicting concrete strength. Computational Materials Science 2009, 44(3):988-998.
6. Tsai C.Y. An iterative feature reduction algorithm for probabilistic neural networks. Omega 2000, 28(5):513-524.
7. Ancona F., Colla A.M., Rovetta S. Implementing probabilistic neural networks. Neural Computation and Applications 1997, 5(3):152-159.
8. Specht D.F. Probabilistic neural networks. Neural Networks 1990, 3(1):109-118.
9. Parzen E. On estimation of a probability density function and mode. Annals of Mathematical Statistics 1962, 33(3):1065-1076.
10. Goh T.C. Probabilistic neural network for evaluating seismic liquefaction potential. Canadian Geotechnology Journal 2002, 39(1):219-232.