Deep Neural Networks and Proper Orthogonal Decomposition-Based Parameterized Reduced-Order Model and its Application in Transonic Axial-Flow Compressor Blade

This publication has 52 references indexed in Scilit:

• Improving aircraft performance using machine learning: A review
  Aerospace Science and Technology, 2023
• Deep-learning prediction and uncertainty quantification for scramjet intake flowfields
  Aerospace Science and Technology, 2022
• On the construction of a mode based reduced order model for a moving store
  Aerospace Science and Technology, 2022
• Unsteady aerodynamic reduced-order modeling based on machine learning across multiple airfoils
  Aerospace Science and Technology, 2021
• Numerical investigation on short length-scale disturbance generation in an eccentric axial compressor rotor at a stable condition
  Aerospace Science and Technology, 2021
• Nonlinear identification via connected neural networks for unsteady aerodynamic analysis
  Aerospace Science and Technology, 2018
• Multivariate predictions of local reduced‐order‐model errors and dimensions
  International Journal for Numerical Methods in Engineering, 2017
• Computational Fluid Dynamics in Turbomachinery: A Review of State of the Art
  Archives of Computational Methods in Engineering, 2016
• Ensemble of surrogates with recursive arithmetic average
  Structural and Multidisciplinary Optimization, 2011
• An algorithm for fast optimal Latin hypercube design of experiments
  International Journal for Numerical Methods in Engineering, 2009