Improved weighting methods, deterministic and stochastic data-driven models for estimation of missing precipitation records

2005 ◽  
Vol 312 (1-4) ◽  
pp. 191-206 ◽  
Author(s):  
Ramesh S.V. Teegavarapu ◽  
V. Chandramouli
Keyword(s):  
Data Driven ◽  
Stochastic Data ◽  
Precipitation Records ◽  
Weighting Methods

scholarly journals A Stochastic FE2 Data-Driven Method for Nonlinear Multiscale Modeling

Materials ◽  
2021 ◽  
Vol 14 (11) ◽  
pp. 2875
Author(s):  
Xiaoxin Lu ◽  
Julien Yvonnet ◽  
Leonidas Papadopoulos ◽  
Ioannis Kalogeris ◽  
Vissarion Papadopoulos
Keyword(s):  
Neural Network ◽  
Surrogate Model ◽  
Probabilistic Models ◽  
Constitutive Law ◽  
Data Driven ◽  
Computational Time ◽  
Hybrid Neural Network ◽  
The Neural Network ◽  
Heterogeneous Structures ◽  
Stochastic Data

A stochastic data-driven multilevel finite-element (FE2) method is introduced for random nonlinear multiscale calculations. A hybrid neural-network–interpolation (NN–I) scheme is proposed to construct a surrogate model of the macroscopic nonlinear constitutive law from representative-volume-element calculations, whose results are used as input data. Then, a FE2 method replacing the nonlinear multiscale calculations by the NN–I is developed. The NN–I scheme improved the accuracy of the neural-network surrogate model when insufficient data were available. Due to the achieved reduction in computational time, which was several orders of magnitude less than that to direct FE2, the use of such a machine-learning method is demonstrated for performing Monte Carlo simulations in nonlinear heterogeneous structures and propagating uncertainties in this context, and the identification of probabilistic models at the macroscale on some quantities of interest. Applications to nonlinear electric conduction in graphene–polymer composites are presented.

scholarly journals Stochastic data-driven model predictive control using gaussian processes

2020 ◽  
Vol 139 ◽  
pp. 106844 ◽  
Author(s):  
Eric Bradford ◽  
Lars Imsland ◽  
Dongda Zhang ◽  
Ehecatl Antonio del Rio Chanona
Keyword(s):  
Model Predictive Control ◽  
Predictive Control ◽  
Gaussian Processes ◽  
Data Driven ◽  
Stochastic Data

Effects of predictor weighting methods on incremental validity.

2017 ◽  
Vol 102 (10) ◽  
pp. 1421-1434 ◽  
Author(s):  
Paul R. Sackett ◽  
Jeffrey A. Dahlke ◽  
Oren R. Shewach ◽  
Nathan R. Kuncel
Keyword(s):  
Incremental Validity ◽  
Weighting Methods
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