Pages that link to "Item:Q1600896"
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The following pages link to Metamodeling: Radial basis functions, versus polynomials (Q1600896):
Displaying 13 items.
- Application of an iterative global approximation technique to structural optimizations (Q374626) (← links)
- Crashworthiness optimization of foam-filled tapered thin-walled structure using multiple surrogate models (Q381937) (← links)
- Decomposition-assisted computational technique based on surrogate modeling for real-time simulations (Q2012753) (← links)
- Physics-informed multi-LSTM networks for metamodeling of nonlinear structures (Q2236167) (← links)
- Surrogate modeling of elasto-plastic problems via long short-term memory neural networks and proper orthogonal decomposition (Q2237770) (← links)
- Sequential approximate optimization using radial basis function network for engineering optimization (Q2443397) (← links)
- Multi‐objective optimization of a linear induction motor using 3D FEM (Q2970533) (← links)
- Taguchi-based design of experiments in training POD-RBF surrogate model for inverse material modelling using nanoindentation (Q2974015) (← links)
- On the effectiveness of assessing model accuracy at design points for radial basis functions (Q3523897) (← links)
- Number of DoE Required for Estimating Different Quality Surrogate (Q5057696) (← links)
- Simulation Optimization: A Review and Exploration in the New Era of Cloud Computing and Big Data (Q5265460) (← links)
- Surrogate‐based methods for black‐box optimization (Q5278217) (← links)
- Iterative radial basis functions neural networks as metamodels of stochastic simulations of the quality of search engines in the World Wide Web (Q5945815) (← links)
