IEEE

Research on RBF neural network method of singularity detection in chaotic time series

Abstract: This paper researches on using RBF neural network for singularity detection in chaotic time series. History data are used for off-line training to RBF network, and then comparing the result ...
Frontiers

An improved radial basis function neural network for displacement prediction of a reservoir ...

Landslide prediction necessitates viewing the past, present, and future states of a slope as a constantly changing dialectical unity, with prediction laws derived from known past and present ...
IEEE

Construction of compact RBF network by refining coarse clusters and widths

Abstract: It is known that centers, widths, and weights are three mainly considered factors in constructing a radial basis function (RBF) network. This paper aims at constructing a compact RBF network ...
Scientific Research Publishing

Design of Aperture Coupled Microstrip Antenna Using Radial Basis Function Networks ()

This paper, two Artificial Neural Network (ANN) models using radial basis function (RBF) nets are developed for the design of Aperture Coupled Microstrip Antennas (ACMSA) for different number of ...
GitHub

RBF Neural Net Adaptive PID Controller

Implementations of a radial basis function (RBF) neural network adaptive PID controller. Uses neural net and error information from PID control to adapt the control ...
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 ...