C4.5 Algorithm Implementation for Pattern Classification
MATLAB-based C4.5 algorithm implementation for pattern classification with enhanced decision tree modeling capabilities
Genetic Algorithm Toolbox Enhancements
Supplementing MATLAB's genetic algorithm toolbox with missing but commonly used crossover and mutation function files to extend functionality and flexibility
Solving TSP Problem Using Genetic Algorithm
MATLAB source code implementing genetic algorithm for Traveling Salesman Problem (TSP) optimization with detailed parameter configuration and evolutionary operations.
Multi-Objective Comprehensive Learning Particle Swarm Optimization
Source includes multi-objective comprehensive learning particle swarm optimization implementation with ZDT test suite and true Pareto fronts for multi-objective optimization. Also contains real Pareto fronts for DTLZ1 and DTLZ2 benchmark problems wit
MATLAB Source Code Implementation for Training Samples in Support Vector Machines
MATLAB source code implementation for training sample processing in Support Vector Machine (SVM) classification algorithm
MATLAB Program for Training BP and RBF Neural Networks Using Improved Particle Swarm Optimization
A comprehensive MATLAB implementation utilizing enhanced particle swarm optimization to train both BP and RBF neural networks, featuring advanced optimization techniques for improved network performance and convergence.
Extended Implementation Source Code for the Infomax ICA Algorithm
Comprehensive source code implementation of the extended Infomax ICA algorithm with detailed technical explanations and optimization techniques
Workshop Dynamic Scheduling with PSO Particle Swarm Optimization Algorithm Program
MATLAB implementation of Particle Swarm Optimization (PSO) algorithm for dynamic workshop scheduling with Makespan minimization as the optimization objective. This code-based solution applies swarm intelligence techniques to optimize job sequencing a
Regression and Prediction on 2D Function Datasets: Mexican Hat, Gabor, Friedman, and Polynomial
Implementation of Multilayer Perceptron (MLP) trained with Backpropagation, Radial Basis Function Network (RBF Network), and Support Vector Machine (SVM) for regression and prediction tasks on 2D function datasets including Mexican Hat, Gabor, Friedm
Solving TSP Problems Using Particle Swarm Optimization Algorithm
Applying discrete particle swarm optimization to solve traveling salesman problems, with enhanced implementation details on algorithm adaptation and key computational approaches.
Innovative Neural Network Training Implementation
A novel neural network training program developed in MATLAB that enables customizable network training with enhanced algorithmic features
Genetic Algorithm for Reactive Power Optimization in Power Systems
MATLAB source code implementation of genetic algorithms for reactive power optimization in electrical power systems
C4.5 Major Functions
MATLAB implementation of C4.5's main functions - simple to understand with excellent extensibility
Wavelet Packet Energy Spectrum Calculation
Computation of wavelet packet energy spectrum for signal frequency band analysis and feature extraction, applied in pattern recognition, with code implementation details for sub-band decomposition and energy calculation algorithms.
RBF Neural Network Prediction Modeling and Implementation
MATLAB Programming for RBF Neural Network Prediction Solutions with Algorithm Implementation Details
Fuzzy Kernel Clustering Algorithm
Research papers on fuzzy kernel clustering algorithm accompanied by MATLAB implementation programs
Sparse Subspace Clustering Algorithm Implementation
Implementation of sparse subspace clustering algorithms with MATLAB source code, accompanied by corresponding research papers discussing methodology and computational approaches.
MATLAB Implementation Program for Genetic Algorithms
Multiple examples and various computational methods for genetic algorithm implementation in MATLAB, featuring diverse optimization scenarios and algorithmic approaches
Machine Learning Algorithms Software Package
A comprehensive machine learning algorithm package featuring neural networks, fuzzy logic, and support vector machines, implemented on the MATLAB platform with structured code organization and modular function design.
Vertex Cover Approximation Algorithm with MATLAB Implementations
MATLAB programs featuring vertex cover approximation algorithm, Hamiltonian circuit solver, isotherm plotting, simulated annealing applications, full permutation matrix generation, Prim's minimum spanning tree algorithm, and shortest path algorithms