GitHub

tarikKerrou/Fuel-Consumption-Prediction-using-RBF-Networks-A-Case-Study-on-Miles-per-Gallon-MPG-Prediction

This project presents a case study on the use of Radial Basis Function (RBF) networks for predicting fuel consumption in miles per gallon (MPG). The goal of this project is to design and develop an ...
GitHub

RBF Neural Network for Function Approximation

Points Generated: 441 points, defined as: x = (x1, x2) where x1 = -2 + 0.2 * i (where i = 0, 1, .... 20) and x2 = -2 + 0.2 * j (where j = 0, 1, .... 20) Random Selection: 150 centers are randomly ...
Frontiers

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

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

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 ...
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 ...
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 ...