Reservoir induced earthquakes analyzed via radial basis function networks

Soil Dynamics and Earthquake Engineering

Volumn 17, Issue 1, 1998, Pages 53-56

  Habibagahi, Ghassem ^a  

^a SHIRAZ UNIVERSITY   (Iran)

Author keywords

Radial basis function networks; Reservoir induced earthquakes

Indexed keywords

CORRELATION METHODS; DAMS; NEURAL NETWORKS; RESERVOIRS (WATER);

RADIAL BASIS FUNCTION (RBF) NETWORKS; RESERVOIR INDUCED EARTHQUAKES;

EARTHQUAKE RESISTANCE;

ARTIFICIAL NEURAL NETWORK; DAM; EARTHQUAKE ENGINEERING; RESERVOIR INDUCED EARTHQUAKE; RISK ANALYSIS; SEISMICITY;

EID: 0031918778     PISSN: 02677261     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0267-7261(97)00025-0     Document Type: Article

References (10)

1. ICOLD, Selecting seismic parameters for large dams. Guidelines, International Commission on Large Dams, Bulletin 72, 1988.
2. Skipp, S.K. The potential for induced seismicity-geological approach. In Dams and Earthquake, Thomas Telford, London, 1981, pp. 287-296.
3. Beacher, G.B. Statistical examination of reservoir induced seismicity. Bull. Seismol. Soc. Am., 1982, 72, 552-569.
4. Baoqi, C. Preliminary study on the prediction of reservoir earthquakes. In Induced Seismicity, ed. P. Knoll, Balkema, Rotterdam, 1992, pp. 213-230.
5. Feng, D.Y. Assessment of earthquake hazard by simultaneous use of the statistical method and the method of fuzzy mathematics, PAGEOPH, 1984, 982-987.
6. Rumelhart, D.E. & McClelland, J.L. Parallel Distributed Processing, Vol. I and II, MIT Press, Cambridge, MA, 1986.
7. Hush, D.R. & Horne, B.G. Progress in supervised neural network, IEEE Signal Processing Magazine, January 1993, 8-39.
8. Jang, J-S.R. and Sun, C.T. Functional equivalence between radial basis function and fuzzy inference systems. IEEE Trans. Neural Networks, 1993, 4, 156-159.
9. Beale, R. & Jackson, T. Neural Computing: An Introduction, Adam Hilger, Bristol, 1990.
10. Chen, S., Cowan, C.F.N. and Grant, P.M. Orthogonal least squares leaning algorithm for radial basis function networks. IEEE Trans. Neural Networks, 1991, 2(2), 302-309