Nature

Modeling nonlinear variable-order fractional chaotic systems using the Caputo-Fabrizio operator and radial basis function neural networks

This study explores the characteristics of a nonlinear fractional chaotic model applying a fractional-order variation approach, leveraging radial basis function neural networks (RBFNN) for efficient ...
Nature

Cost function for low-dimensional manifold topology assessment

In the era of big data, numerous science and engineering disciplines use dimensionality reduction to obtain lower-dimensional representations of complex physical systems with many degrees of freedom 1 ...
EurekAlert!

Massively parallel implementation of nonlinear functions using an optical processor

Researchers at the University of California, Los Angeles (UCLA) have developed an optical computing framework that performs large-scale nonlinear computations using linear materials. Reported in ...
Semiconductor Engineering

Parallel Implementation Of Nonlinear Functions Using An Optical Processor (UCLA)

A new technical paper titled “Massively parallel and universal approximation of nonlinear functions using diffractive processors” was published by researchers at UCLA. “Nonlinear computation is ...