Support Vector Machine for Language Classification Implemented in MATLAB
A MATLAB-based support vector machine implementation designed for language classification, featuring efficient text processing and multi-class recognition capabilities
30 MATLAB Neural Network Case Studies with Implemented Code Examples
This collection contains 30 practical MATLAB neural network case studies with executable programs, covering BP, RBF, SVM, SOM, Hopfield, LVQ, Elman, wavelet networks, and extending to optimization techniques like PSO (Particle Swarm Optimization), gr
Genetic Algorithm Optimized BP Neural Network Weight and Threshold Parameters
This MATLAB program implements genetic algorithm optimization for BP neural network weight and threshold parameters, featuring population initialization, fitness evaluation, crossover, mutation operations, and neural network training integration.
Simulated BP Neural Network with MATLAB Implementation
MATLAB-simulated BP Neural Network utilizing Levenberg-Marquardt algorithm, demonstrating excellent training curve performance with shared implementation code and technical insights.
Solving Traveling Salesman Problem Using Genetic Algorithm with MATLAB Implementation
Various optimization problems including Traveling Salesman Problem (TSP), postal route planning, nut assembly line sequencing, and production scheduling can be formulated as TSP instances. This MATLAB implementation utilizes genetic algorithm to solv
Hybrid Algorithm Combining Ant Colony Optimization (ACO) and Particle Swarm Optimization (PSO) for Solving Traveling Salesman Problem (TSP)
MATLAB implementation of a hybrid algorithm integrating Ant Colony Optimization (ACO) and Particle Swarm Optimization (PSO) for solving the Traveling Salesman Problem (TSP), featuring code structure explanations and parameter configuration details.
Comprehensive MATLAB Implementation Suite for Various Clustering Algorithms
A collection of MATLAB implementations for diverse clustering algorithms, with detailed usage instructions provided in the accompanying readme file. Includes practical code examples for popular methods like K-means, hierarchical clustering, DBSCAN, a
Basic PSO Algorithm: Standard Particle Swarm Optimization MATLAB Implementation
Basic PSO Algorithm: Standard Particle Swarm Optimization MATLAB Implementation with Code Structure and Function Explanations
ICA: Independent Component Analysis
ICA: Independent Component Analysis implemented using MATLAB
Original Function for Fuzzy C-Means Clustering Method
The original implementation of the Fuzzy C-Means clustering algorithm - ready-to-use function that eliminates the need for custom coding, with built-in parameter optimization and cluster validation features
MATLAB Implementation of AdaBoost Algorithm
MATLAB implementation of AdaBoost for vehicle recognition training, featuring weak classifier combination and strong classifier construction
Remote Sensing Image Classification Using Neural Networks with MATLAB Implementation
MATLAB-based neural network approach for remote sensing image classification employing Backpropagation (BP) neural networks with code implementation details
BPSO Binary Particle Swarm Optimization Algorithm
MATLAB Source Code Implementation of BPSO Binary Particle Swarm Optimization Algorithm
Applying Ant Colony Optimization for Continuous Function Optimization Problems
This paper focuses on utilizing the Ant Colony Optimization algorithm to address continuous function optimization challenges, with enhanced explanations of algorithmic implementation and code-level insights.
Simulated Annealing Algorithm
Simulated Annealing Algorithm - This document provides a comprehensive introduction to the simulated annealing optimization method, including precise MATLAB algorithm code with detailed implementation explanations, making it highly practical for vari
MATLAB Implementation of C4.5 Decision Tree Algorithm
MATLAB implementation of C4.5 algorithm featuring comprehensive code annotations and systematic data processing for classification tasks
Application of Support Vector Machine Regression in Stock Market Prediction
Application of Support Vector Machine Regression in stock market forecasting, supported by research papers and comprehensive simulation curves demonstrating implementation effectiveness
MATLAB Implementation of Artificial Fish Swarm Algorithm
Complete MATLAB implementation of Artificial Fish Swarm Algorithm with rich content, highly valuable for learning and reference purposes.
Chaotic Particle Swarm Optimization Algorithm
Implementation of Chaotic Particle Swarm Optimization for solving unconstrained optimization problems with enhanced population diversity preservation
Genetic Algorithm Implementation in MATLAB with Prufer Encoding for Minimum Spanning Tree Problems
Implementation of genetic algorithms using Prufer encoding to solve minimum spanning tree optimization problems with MATLAB code examples