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Reliability analysis on resonance for low-pressure compressor rotor blade based on least squares support vector machine with leave-one-out cross-validation
13 references·1 citing·42 second hop
Reliability analysis on resonance for low-pressure compressor rotor blade based on least squares support vector machine with leave-one-out cross-validation (2015)Reliability analysis on resonance for low…Structural Reliability Analysis and Prediction (2017)Structural Reliability Analys…Reliability of Structures (2012)Reliability of StructuresA response surface method based on support vector machines trained with an adaptive experimental design (2012)A response surface method bas…Vibration reliability sensitivity analysis of general system with correlation failure modes (2011)Vibration reliability sensiti…Probabilistic design for turbine disk at high temperature (2011)Probabilistic design for turb…Least squares support vector machines ensemble models for credit scoring (2009)Least squares support vector …Application of Least Squares Support Vector Machine for Regression to Reliability Analysis (2009)Application of Least Squares …Support vector regression with genetic algorithms in forecasting tourism demand (2006)Support vector regression wit…Probabilistic transient thermal analysis of an atmospheric reentry vehicle structure (2006)Probabilistic transient therm…Effect of response surface parameter variation on structural reliability estimates (2001)Effect of response surface pa…Response surface method using vector projected sampling points (1997)Response surface method using…Response‐Surface Approach for Reliability Analysis (1989)Response‐Surface Approach for…The Predictive Sample Reuse Method with Applications (1975)The Predictive Sample Reuse M…Fatigue strength reliability assessment of turbo-fan blades by Kriging-based distributed collaborative response surface method (2019)Fatigue strength reliability …The Handbook of Social Psychology (1969)Single Sample Cross-Validation Indices for Covariance Structures (1989)The Determinants of Students' Perceived Learning Outcomes and Satisfaction in University Online Education: An Empirical Investigation* (2006)Using 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  • 2019Fatigue strength reliability assessment of turbo-fan blades by Kriging-based distributed collaborative response surface method

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11 cited