Risk Analysis of Robust Recursive Updating Model

Hui Yong Yang; Chao Zhao

doi:10.4028/www.scientific.net/AMR.468-471.1082

Paper Titles

The Engine Fault Diagnosis with RBFNN Based on AIC
p.1066

Stability and Bifurcation Analysis of a Stage-Structured SIR Model with Time Delays
p.1070

Development of a 3D Full-Field Monitoring System for Large-Scale Static Deformation Based on close Range Photogrammetry
p.1074

The Preparation of Microcellular Foam PP Reflective Film
p.1078

Risk Analysis of Robust Recursive Updating Model
p.1082

Eddy Current Loss and Shielding Research of the Tank in Power Transformer
p.1086

Warp Weave Texture Feature Recognition Based on Autocorrelation Function
p.1090

Springback Analysis of TC4 Titanium Alloy Complex Part with Double Curvature under Single Point Incremental Forming Process
p.1094

Thermal Test of a Sealed Air Cooling Local Environment Control Apparatus for Precision Instruments
p.1099

HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 468-471Risk Analysis of Robust Recursive Updating Model

Risk Analysis of Robust Recursive Updating Model

Abstract:

Robust recursive updating model is insensitive to the outliers in observed flow data and is effective to obtaining stable flood updating accuracy. At the same time, it is risky to detect falsely good value as outliers. Using Monte-Carlo method, the relations between risk and effect of model are got. The study results indicate the risk of the model is impacted by frequency of outliers.