RBF Neural Network for Classification and Regression
RBF Neural Network implementation for classification and regression tasks, featuring practical code examples and key algorithmic explanations - highly recommended for download
PSO (Particle Swarm Optimization) for Neural Network Optimization with MATLAB Implementation
MATLAB M-file implementation of PSO (Particle Swarm Optimization) algorithm for neural network optimization, featuring complete code structure and parameter configuration
Variable Clustering Scale-Free Network
Source code for variable clustering scale-free networks, enhancing BA network's clustering coefficient through adaptive clustering mechanisms.
Genetic Algorithm for Job Shop Scheduling Problem with MATLAB Implementation
A versatile MATLAB program implementing genetic algorithm for job shop scheduling problems, featuring robust optimization capabilities and user-friendly design
Hybrid Genetic Algorithm-PSO Implementation Code
Implementation of Hybrid Genetic Algorithm and Particle Swarm Optimization Algorithm
PSO Toolbox Program: Parameter Optimization for SVM and ANN Models
The PSO Toolbox program has successfully passed test function validation and can be effectively utilized for parameter optimization in Support Vector Machines (SVM) and Artificial Neural Networks (ANN).
Dual-Chain Quantum Genetic Algorithm Source Code Implementation
MATLAB implementation of the dual-chain quantum genetic algorithm source code with detailed code explanations and optimization insights
MATLAB Implementation of C4.5 Algorithm
This is a MATLAB implementation of the C4.5 algorithm featuring efficient decision tree construction with information gain ratio calculations and pruning techniques. The code includes functionalities for handling both discrete and continuous attribut
PID Control Algorithm Based on BP Neural Network
PID control algorithm utilizing BP neural network for tracking sinusoidal, square wave, and step signals with adaptive parameter tuning
Quantum Particle Swarm Optimization Algorithm for Training RBF Network Weights
This program implements a Quantum Particle Swarm Optimization algorithm for training RBF network weights, provided as a reference implementation for researchers and developers.
Nonlinear Model Predictive Control for Level Regulation in Surge Tanks
Implementation of nonlinear model predictive control (planning) for precise liquid level management in surge tanks with code-based optimization strategies
Wavelet Packet Decomposition for Feature Vector Extraction from Voltage Signals
Extract feature vectors from collected voltage signals using wavelet packet decomposition followed by BP neural network training with algorithm implementation details
Image Texture Classification Using Combined Grey Level Co-occurrence Probabilities
Image Texture Classification Using Combined Grey Level Co-occurrence Probabilities and Support Vector Machines - Texture refers to properties representing object surface or structure, defined as patterns consisting of interrelated elements. This rese
Multi-Objective Particle Swarm Optimization Algorithm
Multi-Objective Particle Swarm Optimization Algorithm implements the particle swarm optimization principle to simultaneously optimize two objective functions with enhanced convergence mechanisms.
MATLAB Implementation of QoS Multicast Routing Ant Colony Algorithm for Sensor Networks
MATLAB code implementation of QoS multicast routing using ant colony optimization algorithm for wireless sensor networks, featuring network topology modeling, path optimization, and quality of service parameter configuration.
SVM Classifier
SVM classifier designed for classifying multidimensional sample points, adaptable for different numbers of classes. Implements pattern recognition algorithms with configurable kernel functions and hyperparameter optimization.
Neural Network Implementation in MATLAB with C Integration
First, compile the C program using the Mim NNM compiler. Then execute the test NNM framework to validate neural network code functionality through comprehensive testing procedures.
MATLAB Implementation of Particle Swarm Optimization (PSO) Algorithm with Code Examples
Comprehensive MATLAB Program for Particle Swarm Optimization Algorithm with Detailed Explanations and Implementation Guidelines
Dataset for Artificial Intelligence Classification Algorithm Simulation
Integrated UCI Dataset for AI Classification Algorithm Simulation and Evaluation
Particle Swarm Optimization Algorithm with Immune Function
Implementation of Particle Swarm Optimization with Immune Function in MATLAB Environment