Modeling ground motion in Mexico City using artificial neural networks

Geofisica Internacional

Volumn 42, Issue 2, 2003, Pages 173-183

  García, Silvia R ^a   Romo, Miguel P ^a   Sarmiento, Neftalí ^a  

^a UNIVERSIDAD NACIONAL AUTÓNOMA DE MÉXICO   (Mexico)

Author keywords

Artificial intelligence; Ground motion; Learning algorithms; Neural networks; Site response

Indexed keywords

EARTHQUAKE; GROUND MOTION; SEISMIC HAZARD;

MEXICO; MEXICO CITY;

EID: 0038500694     PISSN: 00167169     EISSN: 2954436X     Source Type: Journal    
DOI: None     Document Type: Article

References (22)

1. CARPENTER, G. A. and S. GROSSBERG, 1987. A Massively Parallel Architecture for a Self-Organizing Neural Pattern Recognition Machine, Computer Vision, Graphics and Image Processing 37, pp 54-115.
2. CARPENTER, G. A. and S. GROSSBERG, 1991. Fuzzy ART: Fast Stable Learning and Categorization of Analog Patterns by an Adaptive Resonant System. Neural Networks, 4, 759-771.
3. FAHLMAN, S., 1988. An Empirical Study of Learning Speed in Back-Propagation Networks, Department of Carnegie Mellon University, Technical Report CMU-CS-88-162.
4. FERNÁNDEZ-DELGADO, M. and S. BARRO, 1998. MART: A Multichannel ART-Based Neural Network. IEEE Transactions on Neural Networks, 9, 139-150.
5. GARCÍA-BENÍTEZ, S. R. and M. P. ROMO, 2000. Prediction of Reservoir-Induced Earthquakes by ANNs, 10th IACMAG, January, in Press.
6. GROSSBERG, S., 1976. Adaptive Pattern Classification and Universal Recording: Part 1, Parallel Development and Coding of Natural Features Detectors, Biological Cybernetics 23, pp 121-134.
7. HAGAN, M. T. and M. B. MENHAJ, 1994. Training Feedforward Networks with the Marquardt Algorithm. IEEE Transactions of Neural Networks, 5, 6, 989-993.
8. HINTON, G. E., T. J. SEJNOWSKI and D. H. AEKLEY, 1984. Boltzman Machines: Constraint Satisfaction Networks that Learn, Technical Report No. CMU-CS-84-110, Department of Computer Science, Carnegie Mellon University, Pittsburg, PA.
9. HOPFIELD, J. J., 1982. Neural Networks and Physical Systems with Emergent Collective Computational Anilities, Proceedings of the National Academy of Science, 79, pp 2554-2558.
10. JOHANSSON, E. M., F. V. DOWLA and D. M. GOODMAN, 1990. Backpropagation Learning for Multi-Layer Feedforward Neural Networks Using the Conjugate Gradient Method, UCRL-JC104850, Lawrence Livermore National Laboratory, September.
11. KOHONEN, T., 1988. Self-Organization and Associative Memory, Spring-Verlag, New York, 2nd edition.
12. st ed., Academic Press, San Diego, California, pp. 493.
13. NAUCK, D., F. KLAWONN and R. KRUSE, 1997. Foundations of Neuro-Fuzzy Systems, John Wiley & Sons. Inc., New York, N. Y., pp. 303.
14. REGLAMENTO DE CONSTRUCCIONES PARA EL DISTRITO FEDERAL, (Federal District Construction Code), 1987. Departamento del Distrito Federal, D. F., México.
15. ROMO, M. P., 1976. Soil-Structure Interaction in a Random Seismic Environment, PhD Dissertation, University of California, Berkeley.
16. ROMO, M. P. and H. B. SEED, 1986. Analytical Modeling of Dynamic Soil Response in Mexico Earthquake of Sept. 19, 1985, Specialty Conference on the Mexico Earthquakes-1985, ASCE, pp 148-162.
17. ROMO, M. P., 1999. Earthquake Geotechnical Egineering and Artificial Neural Networks, IV Arthur Casagrande Lecture, XI Panamerican Congress on Soil Mechanics and Geoenvironmental Engineering, Foz do Iguassu, Brasil, Vol. IV, (in press), August.
18. ROMO, M. P., J. L. RANGEL, S. R. GARCÍA and E. OVANDO, 2000. Forecasting of Shear Wave Velocities from CPT Resistance by Means of ANNs, YEAR 2000-GEOTECHNICS, Geotechnical Engineering Conference, Asian Institute of Technology, November, 2000, in press.
19. ROMO, M. P. and A. JAIME, 1986. Dynamic Characteristics of the Valley of Mexico Clays and Ground Response Analyses, Internal Report, Institute of Engineering, UNAM, April (in Spanish).
20. RUMMELHART, D. E., G. E. HINTON and R. J. WILLIAMS, 1986. Learning Internal Representations by Error Propagation, in Parallel Distributed Processing, Vol. 1: Foundations, The MIT press, MA.
21. SINGH, S. K., M. ORDAZ, J. F. PACHECO, R. QUAAS, L. ALCÁNTARA, S. ALCOCER, C. GUTIÉRREZ, C. MELI and E. OVANDO, 1999. A Preliminary Report on the Tehuacan Mexico Earthquake of June 15, 1999. Seism. Res. Lett., 70, 5, 489-504.
22. SPECHT-DONALD, F., 1991. A General Regression Neural Network, IEEE, Transactions on Neural Networks, 2, 6, 568-576.