RBF Neural Network Predictive Control
RBF Neural Network Predictive Control, Predictive Control Methods, Implementation of RBF Neural Networks with Code Examples
Particle Swarm Optimization Algorithm for Enhancing RBF Neural Networks
Implementation of particle swarm optimization algorithm for optimizing RBF neural networks, applicable to pattern classification and similar tasks with code-level parameter tuning and convergence strategies
Application of RBF Neural Network in Transformer Fault Diagnosis with Code Implementation
Application of RBF Neural Network in Transformer Fault Diagnosis - Complete MATLAB program with data preprocessing, network training, and fault classification modules for practical implementation.
Adaptive Control Using RBF Neural Networks Integrated with PID Control
This article introduces an adaptive control methodology that combines RBF neural networks with PID control algorithms, including implementation insights and practical applications.
RBF Neural Network Tuned PID Control with Radial Basis Functions
The PID control system tuned using RBF neural networks employs a three-layer feedforward network with a single hidden layer. This network structure demonstrates local approximation capabilities and has been proven to approximate arbitrary continuous functions with any desired precision.
MATLAB Implementation of RBF Neural Network Based on Least Squares Method
MATLAB program implementing RBF neural network with least squares optimization method, featuring algorithm explanation and practical implementation details
Clustering-Based RBF (Radial Basis Function) Neural Network Design Algorithm
A concise clustering-based RBF (Radial Basis Function) neural network design algorithm with implementation insights and parameter optimization strategies
RBF Neural Network Modeling Example
A MATLAB-based implementation example of RBF neural network modeling, featuring practical code demonstrations and algorithm explanations to facilitate effective learning of RBF modeling techniques
GA-Optimized RBF Neural Network with Implementation Analysis
RAR archive containing analytical code for GA-optimized RBF neural networks featuring genetic algorithm implementation and neural network parameter optimization
Seven RBF Neural Networks: Source Code Collection with Implementation Approaches
Source code implementations for seven RBF neural networks featuring gradient-based methods, OLS (Ordinary Least Squares), clustering algorithms, k-means clustering, and function approximation techniques for network design and predictive modeling