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RISGeneralized Radial Basis Function-Based High-Dimensional Model Representation Handling Existing Random Data
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: The radial basis function-based high-dimensional model representation (RBF–HDMR) is very promising as a metamodel for high dimensional costly simulation-based functions. But in the modeling procedure, it requires well-structured ...
A Robust Error Pursuing Sequential Sampling Approach for Global Metamodeling Based on Voronoi Diagram and Cross Validation
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Surrogate models are widely used in simulationbased engineering design and optimization to save the computing cost. The choice of sampling approach has a great impact on the metamodel accuracy. This article presents a ...
An Adaptive Bayesian Sequential Sampling Approach for Global Metamodeling
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Computer simulations have been increasingly used to study physical problems in various fields. To relieve computational budgets, the cheaptorun metamodels, constructed from finite experiment points in the design space using ...
An Adaptive Calibration Method for the Rapid Performance Prediction of the Axial Turbines Driven by the Energy Loss Models and the Small Sample Data
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Abstract. The turbine, as a critical component of gas turbines, has been widely used in marine propulsion. However, performance prediction based on small samples remains challenging. While data-driven methods easily overfit ...