Derivative-based global sensitivity measure using radial basis function

Structural and Multidisciplinary Optimization ◽

10.1007/s00158-019-02477-3 ◽

2020 ◽

Vol 62 (1) ◽

pp. 107-129 ◽

Author(s):

Xiaobing Shang ◽

Tao Chao ◽

Ping Ma ◽

Ming Yang

Keyword(s):

Radial Basis Function ◽

Basis Function ◽

Global Sensitivity ◽

Sensitivity Measure ◽

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Borgonovo moment independent global sensitivity analysis by Gaussian radial basis function meta-model

Applied Mathematical Modelling ◽

10.1016/j.apm.2017.09.048 ◽

2018 ◽

Vol 54 ◽

pp. 378-392 ◽

Author(s):

Wanying Yun ◽

Zhenzhou Lu ◽

Xian Jiang ◽

Leigang Zhang

Keyword(s):

Sensitivity Analysis ◽

Radial Basis Function ◽

Basis Function ◽

Global Sensitivity Analysis ◽

Global Sensitivity ◽

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Hybrid metamodel of radial basis function and polynomial chaos expansions with orthogonal constraints for global sensitivity analysis

Structural and Multidisciplinary Optimization ◽

10.1007/s00158-020-02516-4 ◽

2020 ◽

Vol 62 (2) ◽

pp. 597-617

Author(s):

Zeping Wu ◽

Donghui Wang ◽

Wenjie Wang ◽

Kun Zhao ◽

Houcun Zhou ◽

...

Keyword(s):

Sensitivity Analysis ◽

Radial Basis Function ◽

Basis Function ◽

Polynomial Chaos ◽

Global Sensitivity Analysis ◽

Global Sensitivity ◽

Radial Basis ◽

Polynomial Chaos Expansions

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Global sensitivity analysis using a Gaussian Radial Basis Function metamodel

Reliability Engineering & System Safety ◽

10.1016/j.ress.2016.06.006 ◽

2016 ◽

Vol 154 ◽

pp. 171-179 ◽

Author(s):

Zeping Wu ◽

Donghui Wang ◽

Patrick Okolo N ◽

Fan Hu ◽

Weihua Zhang

Keyword(s):

Sensitivity Analysis ◽

Radial Basis Function ◽

Basis Function ◽

Global Sensitivity Analysis ◽

Global Sensitivity ◽

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A quantified sensitivity measure of Radial Basis Function Neural Networks to input variation

The 2010 International Joint Conference on Neural Networks (IJCNN) ◽

10.1109/ijcnn.2010.5596949 ◽

2010 ◽

Author(s):

Xianming Chen ◽

Xiaoqin Zeng ◽

Rong Chu ◽

Shuiming Zhong

Keyword(s):

Neural Networks ◽

Radial Basis Function ◽

Basis Function ◽

Sensitivity Measure ◽

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Global sensitivity analysis using orthogonal augmented radial basis function

Reliability Engineering & System Safety ◽

10.1016/j.ress.2018.12.028 ◽

2019 ◽

Vol 185 ◽

pp. 291-302 ◽

Author(s):

Zeping Wu ◽

Wenjie Wang ◽

Donghui Wang ◽

Kun Zhao ◽

Weihua Zhang

Keyword(s):

Sensitivity Analysis ◽

Radial Basis Function ◽

Basis Function ◽

Global Sensitivity Analysis ◽

Global Sensitivity ◽

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Global sensitivity analysis for computationally expensive models based on radial basis function interpolationand optimization

2015 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM) ◽

10.1109/ieem.2015.7385831 ◽

2015 ◽

Author(s):

Christine A. Shoemaker ◽

Yilun Wang

Keyword(s):

Sensitivity Analysis ◽

Radial Basis Function ◽

Basis Function ◽

Global Sensitivity Analysis ◽

Global Sensitivity ◽

Radial Basis ◽

Computationally Expensive

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Global Sensitivity Analysis Using Augmented Radial Basis Function

2019 IEEE Congress on Evolutionary Computation (CEC) ◽

10.1109/cec.2019.8790236 ◽

2019 ◽

Author(s):

Zeping Wu ◽

Wenjie Wang ◽

Donghui Wang ◽

Weihua Zhang

Keyword(s):

Sensitivity Analysis ◽

Radial Basis Function ◽

Basis Function ◽

Global Sensitivity Analysis ◽

Global Sensitivity ◽

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Selection of weight quantisation accuracy for radial basis function neural network using stochastic sensitivity measure

Electronics Letters ◽

10.1049/el:20030499 ◽

2003 ◽

Vol 39 (10) ◽

pp. 787 ◽

Author(s):

Wing W.Y. Ng ◽

D.S. Yeung

Keyword(s):

Neural Network ◽

Radial Basis Function ◽

Basis Function ◽

Sensitivity Measure ◽

Stochastic Sensitivity ◽

Radial Basis ◽

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Performance Comparison of Generalized Regression Network, Radial Basis Function Network and Support Vector Regression for Wind Power Forecasting

International Review on Modelling and Simulations (IREMOS) ◽

10.15866/iremos.v12i1.15781 ◽

2019 ◽

Vol 12 (1) ◽

pp. 16

Author(s):

Jyothi Varanasi ◽

Madan Mohan Tripathi

Keyword(s):

Radial Basis Function ◽

Support Vector Regression ◽

Basis Function ◽

Radial Basis Function Network ◽

Performance Comparison ◽

Support Vector ◽

Wind Power Forecasting ◽

Radial Basis ◽

Function Network

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ANALYSIS OF A SHORT BANANA FIBER-REINFORCED HDPE/POLY (∈-CAPROLACTONE) SKEW COMPOSITE PLATE USING THE MULTIQUADRIC RADIAL BASIS FUNCTION METHOD

Composites Mechanics Computations Applications An International Journal ◽

10.1615/compmechcomputapplintj.v2.i3.30 ◽

2011 ◽

Vol 2 (3) ◽

pp. 195-221

Author(s):

Raghvendra Misra ◽

P. C. Mishra ◽

Sandeep Kumar

Keyword(s):

Radial Basis Function ◽

Basis Function ◽

Composite Plate ◽

Function Method ◽

Fiber Reinforced ◽

Banana Fiber ◽

Radial Basis ◽

Poly Caprolactone ◽

Radial Basis Function Method

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