Neural Networks for inverse problems in damage identification and optical imaging

Collection of Technical Papers - AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics and Materials Conference

Volumn 1, Issue , 2002, Pages 442-452

  Kim, Yong Y ^a   Kapania, Rakesh K ^a  

^a Virginia Polytechnic Institute and State University   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BACKPROPAGATION; COMPUTER SOFTWARE; DIFFUSION; FINITE ELEMENT METHOD; IMAGING SYSTEMS; INFRARED DETECTORS; INFRARED RADIATION; INVERSE PROBLEMS; LIGHT SCATTERING; LIGHTING; MATHEMATICAL MODELS; NATURAL FREQUENCIES; OPTICAL SYSTEMS; PROBLEM SOLVING; RADIAL BASIS FUNCTION NETWORKS; TISSUE;

DAMAGE DETECTION; OPTICAL IMAGING;

STRUCTURAL ANALYSIS;

EID: 0036077992     PISSN: 02734508     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.2514/6.2002-1256     Document Type: Conference Paper

References (16)

1. Detection of damage in beams subjected to diffused cracking
2. Damage identification using committee of neural networks
3. Multilayer perceptron in damage detection of bridge structures
4. Neural networks in mechanics of structures and materials -new results and prospects of applications
5. A gradient-based optimization scheme for optical tomography
6. Image reconstruction in optical tomography
7. MRI-guided optical tomography: Prospects and computation for a new imaging method
8. Recovery of optical cross-section perturbations in dense-scattering media by transport-theory-based imaging operators and steady state simulated data
9. A finite element approach for modeling photon transport in tissue
10. The finite-element method for the propagation of light in scattering media: Frequency domain case
11. Experimental validation of Monte Carlo and finite-element methods for the estimation of the optical path length in inhomogeneous tissue