#10 Introduction to Surrogate Modeling | Surrogates and Approximations in Engineering Design
Welcome to 'Surrogates and Approximations in Engineering Design' course ! Get ready to build our predictive models – surrogates that mimic the behavior of expensive simulations or experiments! We'll break down the three key steps: choosing a model type, estimating its parameters, and evaluating its performance. Maximum likelihood estimation will become our go-to technique for finding those optimal parameters. NPTEL Courses permit certifications that can be used for Course Credits in Indian Universities as per the UGC and AICTE notifications. To understand various certification options for this course, please visit https://nptel.ac.in/courses/112106250 #MetamodelConstruction #MaximumLikelihoodEstimation #CrossValidation #R-squared #PRESS
#11 Types of Surrogate | Polynomial models | Surrogates and Approximations in Engineering Design
#1 Overview and Motivation of Course | Surrogates and Approximations in Engineering Design
Replacing a computationally expensive simulation with a Gaussian process surrogate model in quoFEM
#3 Problem Formulation Example | Surrogates and Approximations in Engineering Design
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A surrogate modeling journey through Gaussian processes
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Surrogate Modeling: Enhancing Analysis and Optimization through Efficient Approximations
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#19 Ensemble of Surrogates | Surrogates and Approximations in Engineering Design
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