Search Results for author:
Found 3 papers, 0 papers with code
OS-net: Orbitally Stable Neural Networks
We introduce OS-net (Orbitally Stable neural NETworks), a new family of neural network architectures specifically designed for periodic dynamical data.
Targeted Adaptive Design
Modern advanced manufacturing and advanced materials design often require searches of relatively high-dimensional process control parameter spaces for settings that result in optimal structure, property, and performance parameters.
Fourier Neural Networks as Function Approximators and Differential Equation Solvers
We present a Fourier neural network (FNN) that can be mapped directly to the Fourier decomposition.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
