Medical Xpress

AI model predicts neural network degeneration patterns in ALS progression

New research from the University of St Andrews, the University of Copenhagen and Drexel University has developed AI computational models that predict the degeneration of neural networks in amyotrophic ...
EurekAlert!

Deep neural networks enable accurate pricing of American options under stochastic volatility

It shows the schematic of the physics-informed neural network algorithm for pricing European options under the Heston model. The market price of risk is taken to be λ=0. Automatic differentiation is ...
IEEE

An Efficient RBF Neural Network-Based Method for Defending Against Collusive Interest Flooding Attacks in Named Data Networks

Abstract: Named data networks (NDNs), as one of the standards for information center networks (ICNs), have attracted substantial attention in recent years due to their efficient forwarding mechanisms.
GitHub

Integrate KAN network using Radial Basis Functions (RBF) instead of B-splines into 2D INR

The INR repo currently compares many implicit network architectures for 2D image reconstruction. Add a KAN (Kolmogrov arnold networks ) implementation that uses Radial Basis Functions (RBFs instead of ...
IEEE

Efficient High-Dimensional Learning With Adaptive Gaussian RBF Networks

Abstract: Radial basis function neural networks (RBFNNs) are widely applied due to their rapid modeling capabilities and efficient learning performance. However, when dealing with high-dimensional ...
Scientific Research Publishing

Buhmann, M.D. (2003) Radial Basis Functions. Cambridge University Press.

ABSTRACT: We solve numerically an eigenvalue elliptic partial differential equation (PDE) ranging from two to six dimensions using the generalized multiquadric (GMQ) radial basis functions (RBFs). Two ...