[1] Ferreira M.D.C., Venturini W.S., Inverse analysis for two-dimensional structures using the boundary element method,
Advances in Engineering Software, 41, 2010, pp. 1061-1072.
[2] Mera N.S., Elliott L., Ingham D.B., , Numerical solution of a boundary detection problem using genetic algorithms,
Engineering Analysis with Boundary Elements, 28, 2004, pp. 405-411.
[3] Mehrjoo M., Khaji N., Moharramiand H., Bahreininejad A., Damage detection of truss bridge joints using Artificial Neural Networks,
Expert Systems with Applications, 35, 2008, pp. 1122-1131.
[4] Park G., Park S., and Kim J. , Estimating the existence probability of cavities using integrated geophysics and a neural network approach,
Computers & Geosciences, 36, 2010,pp. 1161-1167.
[5] Liu S.W., Huang j.h., Sung J.C., Lee. C., , Detection of cracks using neural networks and computational mechanics,
Computer Methods in Applied Mechanics and Engineering, 191, 2002, pp. 2831-2845.
[6] Gupta S., Ray A., Keller E.,
Symbolic time series analysis of ultrasonic data for early detection of fatigue damage , Mechanical Systems and Signal Processing, 21, 2007, pp. 866-884.
[7] Hsieh C. K.,Kassab. A. J., A general method for the solution of inverse heat conduction problems with partially unknown system geometries,
International Journal of Heat and Mass Transfer, 29, 1986, pp. 47-58.
[8] Darabi A., Maldague X., , Neural network based defect detection and depth estimation in TNDE,
NDT ,35, 2002, pp. 165-175
[9] Mera N. S. , Elliott L. , Ingham D. B., , the use of neural network approximation models to speed up the optimization process in electrical impedance tomography,
Computer Methods in Applied Mechanics and Engineering, 197, 2007, pp. 103-114
[10] Mera N. S., Elliott L. , Ingham D. B., Detection of subsurface cavities in IR-CAT by a real coded genetic algorithm,
Applied Soft Computing, 2, 2002, pp. 129-139
[11] Rus G., Gallego R., Optimization algorithms for identification inverse problems with the boundary element method,
Engineering Analysis with Boundary Elements, 26, 2002, pp. 315-327.
[12] Chamekh A., BelHadjSalah H. , Hambli R. , Gahbiche A. ,
Inverse identification using the bulge test and artificial neural networks, Journal of Materials Processing Technology, 177, 2006, pp. 307-310.
[13] Hagan M., Demuth H. B., Beale M. , Neural Network Design, PWS. pub. Co., Dec. 1995, pp. 66-79.