IEEE

DC-RBF: Dilated Convolution-Radial Basis Function Network for Nonlinear Equalization in High-Speed VCSEL-Based Optical Interconnects

Abstract: The growing demand for ultra-high-speed data transmission in short-reach optical interconnects exacerbates inter-symbol interference (ISI) and device-induced nonlinearities, presenting ...
Scientific Research Publishing

Attouch, H. and Bolte, J. (2007) On the Convergence of the Proximal Algorithm for Nonsmooth Functions Involving Analytic Features. Mathematical Programming, 116, 5-16.

ABSTRACT: The alternating direction method of multipliers (ADMM) and its symmetric version are efficient for minimizing two-block separable problems with linear constraints. However, both ADMM and ...
IEEE

RBF NN-Enabled Adaptive Filter for Any Type of Noise

Abstract: The brief proposes a radial basis function (RBF) neural network (NN)-enabled adaptive filter (AF) algorithm, which consists of two stages. The first stage is a data-driven (DD) preprocessing ...
Frontiers

Intelligent vehicle lateral tracking algorithm based on neural network predictive control

Introduction: Intelligent vehicles and autonomous driving have been the focus of research in the field of transport, but current autonomous driving models have significant errors in lateral tracking ...
GitHub

Add Radial Basis Function Neural Network (RBFNN)

Radial Basis Function Neural Networks (RBFNNs) are a type of neural network that combines elements of clustering and function approximation, making them powerful for both regression and classification ...
GitHub

Radial basis function for smooth derivatives

First at all, thanks a lot for putting this nice tool available for everyone. It is really nice! I have a question regarding which RBF basis to choose in case I am interested in obtaining smooth ...