Two online dam safety monitoring models based on the process of extracting environmental effect

[1]  A. J. Morris,et al.  Non-parametric confidence bounds for process performance monitoring charts☆ , 1996 .

[2]  P. Miller,et al.  Contribution plots: a missing link in multivariate quality control , 1998 .

[3]  Vladimir Vapnik,et al.  An overview of statistical learning theory , 1999, IEEE Trans. Neural Networks.

[4]  Vladimir N. Vapnik,et al.  The Nature of Statistical Learning Theory , 2000, Statistics for Engineering and Information Science.

[5]  E. Walter,et al.  Multi-Output Suppport Vector Regression , 2003 .

[6]  Tianxi Cai,et al.  Estimating the Confidence Interval for Prediction Errors of Support Vector Machine Classifiers , 2008, J. Mach. Learn. Res..

[7]  G. De Roeck,et al.  Vibration based Structural Health Monitoring using output-only measurements under changing environment , 2008 .

[8]  Liang Dong,et al.  Multi-output Support Vector Machine Regression and Its Online Learning , 2008, 2008 International Conference on Computer Science and Software Engineering.

[9]  Yong-seong Kim,et al.  Prediction of relative crest settlement of concrete-faced rockfill dams analyzed using an artificial neural network model , 2008 .

[10]  Qian Jing-lin.  Application of characteristic polynomial roots of autoregression time-series model in analysis of dam observation data , 2009 .

[11]  Akhil Upadhyay,et al.  Support vector machine based aerodynamic analysis of cable stayed bridges , 2009, Adv. Eng. Softw..

[12]  Yong Yu,et al.  Multi-output regression on the output manifold , 2009, Pattern Recognit..

[13]  Hong Yu,et al.  Multivariate analysis in dam monitoring data with PCA , 2010 .

[14]  Johan A. K. Suykens,et al.  Approximate Confidence and Prediction Intervals for Least Squares Support Vector Regression , 2011, IEEE Transactions on Neural Networks.

[15]  Graham Currie,et al.  Prediction intervals to account for uncertainties in neural network predictions: Methodology and application in bus travel time prediction , 2011, Eng. Appl. Artif. Intell..

[16]  Chin-Hsiung Loh,et al.  Feature Extraction within the Fei-Tsui Arch Dam under Environmental Variations , 2011 .

[17]  Arkal Vittal Hegde,et al.  Genetic algorithm based support vector machine regression in predicting wave transmission of horizontally interlaced multi-layer moored floating pipe breakwater , 2012, Adv. Eng. Softw..