Orders-of-coupling representation with a single neural network with optimal neuron activation functions and without nonlinear parameter optimization

Ähnliche Einträge

• Gaussian Process Regression -- Neural Network Hybrid with Optimized Redundant Coordinates
  von: Manzhos, Sergei, et al.
  Veröffentlicht: (2025)
• Degeneration of kernel regression with Matern kernels into low-order polynomial regression in high dimension
  von: Manzhos, Sergei, et al.
  Veröffentlicht: (2023)
• Machine learning-guided construction of an analytic kinetic energy functional for orbital free density functional theory
  von: Manzhos, Sergei, et al.
  Veröffentlicht: (2025)
• Neural networks for neurocomputing circuits: a computational study of tolerance to noise and activation function non-uniformity when machine learning materials properties
  von: Thant, Ye min, et al.
  Veröffentlicht: (2025)
• Gaussian Process Regression–Neural Network Hybrid with Optimized Redundant Coordinates: A New Simple Yet Potent Tool for Scientist's Machine Learning Toolbox
  von: Sergei Manzhos, et al.
  Veröffentlicht: (2026)