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Probabilistic characterization of cyclic shear modulus reduction for normally to moderately over-consolidated clays Journal article
Journal of Earthquake Engineering and Engineering Vibration, 2016,Volume: 15,Issue: 3,Page: 495-508
Authors:  Ng I.-T.;  Yuen K.-V.;  Lao N.-K.
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Bayesian analysis  Cyclic shear modulus  Empirical model  Geotechnical earthquake engineering  Normally to moderately over-consolidated clays  
Prediction of Major Earthquakes as Rare Events Using RF-Typed Polynomial Neural Networks Book chapter
出自: Encyclopedia of Information Science and Technology, Third Edition:IGI Global, 2015
Authors:  Fong, Simon;  Deb, Suash
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Neural Networks  Autoregressive Integrated Moving Average Model (Arima)  Time-series  Hurst Factor  Goodness-of-fit  Curve Fitting  
Study of the attenuation relationship for the Wenchuan Ms 8.0 earthquake Journal article
Earthquake Engineering and Engineering Vibration, 2015,Volume: 14,Issue: 1
Authors:  Kuok S.-C.;  Ng I.-T.;  Yuen K.-V.
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Bayesian Inference  Boore-joyner-fumal Attenuation Relationship  Directivity  Peak Ground Acceleration  Seismic Attenuation Model  
Adaptive Forecasting of Earthquake Time Series by Incremental Decision Tree Algorithm Journal article
Information (Japan), 2013,Volume: 16,Issue: 12,Page: 8387-8395
Authors:  Fong, Simon
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Adaptive Forecasting  Earthquake Prediction  Stream Mining  Time Series Forecasting  
Rare Events Forecasting Using a Residual-Feedback GMDH Neural Network Conference paper
Proceedings - 12th IEEE International Conference on Data Mining Workshops, ICDMW 2012, Brussels, Belgium, 10-13 Dec. 2012
Authors:  Simon Fong;  Zhou Nannan;  Raymond K. Wong;  Xin-She Yang
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Data Pre-processing  Earthquake Prediction  Gmdh  Ground Ozone  Neural Network  Time Series Forecasting  
On the seismic attenuation with consideration of the prediction model complexity Book
2011
Authors:  Yuen K.-V.;  Mu H.-Q.
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Bayesian inference  Boore-Joyner-Fumal formula  Model class selection  Peak ground acceleration  Seismic attenuation  
Peak Ground Acceleration Estimation by Linear and Nonlinear Models with Reduced Order Monte Carlo Simulation Journal article
Computer-Aided Civil and Infrastructure Engineering, 2011,Volume: 26,Issue: 1,Page: 30
Authors:  Yuen K.-V.;  Mu H.-Q.
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Application and research on SOM-PCA based RBF neural network in earthquake prediction Conference paper
4th International Symposium on Computational Intelligence and Industrial Applications, ISCIIA 2010
Authors:  Chen Y.;  Wang Y.
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Earthquake magnitude  Earthquake prediction  Principal components analysis  RBF neural network  SOM neural network  
Bayesian analysis of peak ground acceleration attenuation relationship Conference paper
AIP Conference Proceedings
Authors:  Mu H.-Q.;  Yuen K.-V.
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Bayesian inference, Boore-Joyner-Fumal formula  model class selection  peak ground acceleration  seismic attenuation  
Modeling of environmental influence in structural health assessment for reinforced concrete buildings Journal article
Earthquake Engineering and Engineering Vibration, 2010,Volume: 9,Issue: 2,Page: 295-306
Authors:  Yuen K.-V.;  Kuok S.-C.
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Bayesian Inference  Model Selection  Reinforced Concrete Building  Structural Health Monitoring  Temperature And Humidity Effects  Timoshenko Beam