Bishop, C. M., Neural Networks for Pattern Recognition, 488 pp., Calen-don Press Oxford, UK, 1995.
Google Scholar
Brillinger, D., Seismic risk assessment: some statistical aspects, Earthq. Predict. Res., 1, 183–195, 1982.
Google Scholar
Chao, L. C. and M. J. Skibniewski, Estimating construction productivity: Neural network-based approach, J. Comput. Civil Eng., 8(2), 234–251, 1994.
Article
Google Scholar
Dowla, F. U., S. R. Taylor, and R. W. Anderson, Seismic discrimination with artificial neural networks: preliminary results with regional spectral data, Bull. Seismol. Soc. Am., 80, 1346–1373, 1990.
Google Scholar
Fedotov, S., Regularities of the distribution of strong earthquakes in Kamchatka, the Kurile Islands, and northeast Japan, Trudy Isnt. Fiz. Zemli. Acad. Nauk. SSSR, 36, 66–94, 1965.
Google Scholar
García-Fernández, M. and J. J. Egozcue, Seismic hazard assessment in TERESA test areas based on a Bayesian technique, Nat. Haz., 2(3–4), 249–265, 1989.
Article
Google Scholar
Goldman, S., Information Theory, 385 pp., Dover Publs. Inc., USA, 1953.
Google Scholar
Gutenberg, B. and C. Richter, Frequency of earthquakes in California, Bull. Seismol. Soc. Am., 34, 185–188, 1944.
Google Scholar
Herrera, C., F A. Nava, and C. Lomnitz, Time-dependent earthquake hazard evaluation in seismogenic systems using mixed Markov Chains: An application to the Japan area, Earth Planets Space, 58, 973–979, 2006.
Article
Google Scholar
Hirata, N., Past, current and future of Japanese national program for earthquake prediction research, Earth Planets Space, 56, xliii–l, 2004.
Article
Google Scholar
Ito, T., S. Yoshioka, and S. Miyazaki, Interplate coupling in southwest Japan deduced from inversion analysis of GPS data, Phys. Earth Planet. Inter., 115, 17–34, 1999.
Article
Google Scholar
Ito, T., S. Yoshioka, and S. Miyazaki, Interplate coupling in northeast Japan deduced from inversion analysis of GPS data, Earth Planet. Sci. Lett., 176, 117–130, 2000.
Article
Google Scholar
Kagan, Y and D. Jackson, Seismic gap hypothesis: Ten years after, J. Geophys. Res., 96, 21419–21431, 1991.
Article
Google Scholar
Kanamori, H., The energy in grat earthquakes, J. Geophys. Res., 82, 2981–2987, 1977.
Article
Google Scholar
Karunanithi, N., W. J. Grenney, D. Whitley, and K. Bovee, Neural networks for river flow prediction, J. Comput. Civil Eng., 8, 201–220, 1994.
Article
Google Scholar
Kashyap, R. L., Speaker recognition from an unknown utterance and speaker-speech interaction, IEEE Trans on Acoustics, Speech and Signal Processing, 24, 481–488, 1976.
Article
Google Scholar
Katsumata, K. and M. Kasahara, Precursory seismic quiescence before the 1994 Kurile Earthquake (Mw = 8.3) revealed by three independent seismic catalogs, Pure Appl. Geophys., 155, 443–470, 1999.
Article
Google Scholar
Lomnitz, C. and F. Nava, The predictive power of seismic gaps, Bull. Seismol. Soc. Am., 73, 1815–1824, 1983.
Google Scholar
McCann, W. R., S. P. Nishenko, S. P. Sykes, and J. Krause, Seismic gap and plate tectonics: seismic potential for major boundaries, Pure Appl. Geophys., 117, 1082–1147, 1979.
Article
Google Scholar
Mcllraith, A. L. and H. C. Card, Birdsong recognition using backpropa-gation and multivariate statistics, IEEE Trans on Signal Processing, 45, 2740–2748, 1997.
Article
Google Scholar
Mogi, K., Migration of seismic activity, Bull. Earthq. Res. Inst., 46, 53–74, 1968.
Google Scholar
Mogi, K., Earthquake Prediction, 355 pp., Academic Press, Japan Inc., 1985.
Google Scholar
Nava, F. A., C. Herrera, J. Frez, and E. Glowacka, Seismic hazard evaluation using Markov chains; Application to the Japan area, Pure Appl. Geophys., 162, 1347–1366, 2005.
Article
Google Scholar
Patwardahan, A. S., R. B. Kulkarni, and D. Tocher, A semi Markov model for characterizing recurrence of great earthquakes, Bull. Seismol. Soc. Am., 70, 323–347, 1980.
Google Scholar
Reid, H. F., The mechanism of the Earthquake, The California Earthquake of April 18, 1906, in Report of the State Earthquake Investigation Commission, edited by Carnegie Institution, 2, 16–18, Washington D.C., 1910.
Google Scholar
Richter, C., Elementary Seismology, 521 pp., W H. Freeman, San Francisco, 1958.
Google Scholar
Rosenblatt, F., The perceptron: A probabilistic model for information storage and organization in the brain, Psychological Rev., 65, 386–408, 1958 (Reprinted in Anderson & Rosenfeld, 92–114, 1988).
Article
Google Scholar
Rosenblatt, F., Principles of Neurodynamics, 215 pp., Spartan, New York, 1962.
Google Scholar
Rüttener, E., J. J. Egozcue, D. Mayer-Rosa, and S. Mueller, Bayesian estimation of seismic hazard for two sites in Switzerland, Nat. Haz., 14, 165–178, 1996.
Article
Google Scholar
Shimazaki, K., Intra-plate seismicity and inter-plate earthquakes: historical activity in southwest Japan, Tectonophysics, 33, 33–42, 1976.
Article
Google Scholar
Shimazaki, K. and T. Nakata, Time predictable recurrence model for large earthquakes, Geophys. Res. Lett., 7, 279–282, 1980.
Article
Google Scholar
Thatcher, W. and J. B. Rundle, A viscoleastic coupling model for the cyclic deformation due to periodically repeated earthquakes at subduction zones, J. Geophys. Res., 89, 7631–7640, 1984.
Article
Google Scholar
Utsu, T., Estimation of parameters for recurrence models of earthquakes, Bull. Earthq. Res. Inst., Univ. Tokyo, 59, 53–56, 1984.
Google Scholar
Wyss, M., K. Shimazaki, and T. Urabe, Quantitative mapping of a precursory seismic quiescence to the Izu-Oshima 1990 (M6.5) earthquake, Japan, Geophys. J. Int., 127, 735–743, 2007.
Article
Google Scholar
Zhao, Y. and K. Takano, An artificial neural network approach for broadband seismic phase picking, Bull. Seismol. Soc. Am., 89, 670–680, 1999.
Google Scholar