A kernel based learning by sample technique for defect identification through the inversion of a typical electric problem

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 4694 LNAI, Issue PART 3, 2007, Pages 243-250

  Cacciola, Matteo ^a   Campolo, Maurizio ^a   La Foresta, Fabio ^a   Morabito, Francesco Carlo ^a   Versaci, Mario ^a  

^a UNIVERSITY MEDITERRANEA OF REGGIO CALABRIA   (Italy)

Author keywords

Electromagnetic inverse problems; Non destructive testing and evaluation; Support vector regression machines

Indexed keywords

ELECTROSTATICS; INSPECTION; PROBLEM SOLVING; RISK ASSESSMENT;

ELECTROMAGNETIC INVERSE PROBLEMS; NON DESTRUCTIVE TESTING; SUPPORT VECTOR REGRESSION MACHINES;

SUPPORT VECTOR MACHINES;

EID: 38049125667     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-74829-8_30     Document Type: Conference Paper

References (13)

1. Bertero, M., Poggio, T.A., Torre, V.: Ill-posed problems in early vision. Proc. of the IEEE 76, 869-889 (1988)
2. Vapnik, V.N.: The Nature of Statistical Learning Theory. Springer, New York (1995)
3. Smola, A.J.: Regression estimation with support vector learning machines. Master Thesis, Technische Universitat, Munchen, Germany (1996)
4. Barrile, V., Cacciola, M., Cotroneo, F., Morabito, F.C., Versaci, M.: TEC Measurements through GPS and Artificial Intelligence, Journal of Electromagnetic Waves and Applications 20(9), 1211-1220 (2006)
5. Morabito, F.C., Campolo, M.: Location of Plural Defects in Conductive Plates via Neural Networks. IEEE Trans. Magn. 31(3), 1765-1768 (1995)
6. Hwang, K., Mandayam, S., Udpa, S.S., Udpa, L., Ford, W., Afzal, M.: Characterization of Gas Pipeline Inspection Signals Using Wavelet Basis Function Neural Networks. NDT&E International 33, 531-545 (2000)
7. Cacciola, M., La Foresta, F., Morabito, F.C., Versaci, M.: Advanced Use of Soft Computing and Eddy Current Test to Evaluate Mechanical Integrity of Metallic Plates. NDT&E International 40, 357-362 (2007)
8. Van De Graaff, R.J.: A 1,500,000 Volt Electrostatic Generator. Physical Review 38, 1919-1920 (1931)
9. Coccorese, E., Martone, R., Morabito, F.C.: A Neural Network Approach for the Solution of Electric and Magnetic Inverse Problems. IEEE Trans. Magn. 30(5), 2829-2839 (1994)
10. Durand, E.: Electrostatique, Tome II. Masson, Paris (1966)
11. Jolliffe, I.T.: Principal Component Analysis, 2nd edn. Springer, New York (2002)
12. Fukunaga, K.: Introduction to Statistical Pattern Recognition. Elsevier, Amsterdam (1990)
13. Schölkopf, B., Smola, A.: Learning with Kernels. MIT Press, New York (2002)