MATLAB Code Implementation of LibSVM Toolbox
LibSVM Toolbox implemented in MATLAB environment with full VC interface compatibility! Visit my homepage for more details: http://huangbo929.blog.edu.cn
Data Prediction Using Elman Neural Networks - Research on Power Load Forecasting Models
Data Prediction Using Elman Neural Networks - Research on Power Load Forecasting Models with Implementation Insights
Twin Support Vector Machine (TWSVM/TSVM) - Algorithm Explanation and Implementation Insights
Twin Support Vector Machine (TWSVM/TSVM) is a variant algorithm of Support Vector Machines, specifically designed for binary classification tasks. This implementation includes MATLAB/Python code examples suitable for beginners, featuring dual hyperpl
Machine Vision and Pattern Recognition Source Code
A collection of highly useful source code implementations primarily focused on machine vision and pattern recognition applications, featuring practical algorithm implementations and key function descriptions
Particle Swarm Optimization Algorithm
Particle Swarm Optimization Algorithm and Its Multiple Improved Variants
Support Vector Machine Optimal Algorithm for Image Segmentation
Implementing optimal Support Vector Machine algorithms for image segmentation enables effective cell separation imagery with improved precision and computational efficiency.
Genetic Algorithm for Optimization Problems
Implementation of genetic algorithms for optimization challenges including distribution network reconfiguration and fault recovery, featuring code-based solutions and algorithmic approaches.
Wind Power Prediction Using Artificial Neural Network Method
MATLAB program for wind power prediction based on artificial neural network methodology, capable of forecasting wind power output for multiple hours ahead with advanced machine learning implementation.
SVM for Time Series Forecasting with MATLAB Implementation
MATLAB-based SVM program for time series forecasting with enhanced algorithmic implementation details
SVM with Genetic Algorithm Optimization for C and G Parameters
MATLAB implementation of SVM utilizing genetic operators for optimized parameter selection of C and G parameters.
An Efficient Computational Method for Support Vector Machines
A faster computational approach for Support Vector Machines that enhances processing speed, featuring the SVM-demo algorithm implementation.
Demonstration of Machine Learning: Q-Learning Algorithm
This article focuses on Q-learning algorithm implementation, where readers can conduct their own research via Baidu or reference technical papers for deeper understanding.
Bayesian Image Classification for Pattern Recognition with Neural Networks
Bayesian image classification combined with neural networks for pattern recognition, implementing probability-based decision making and deep learning models
Implementation of Convolutional Neural Networks with MATLAB Class
This project offers a MATLAB class implementation of Convolutional Neural Networks (CNNs), originally developed by Yann LeCun. The implementation demonstrates practical applications including handwritten digit recognition, face detection, and robot n
Application of Particle Swarm Optimization in Power Grid Reactive Power Optimization
Application of Particle Swarm Optimization in power grid reactive power optimization, primarily using the basic PSO algorithm combined with Newton's method for power flow calculation components
Optimization Methods and MATLAB Programming Design
Optimization Methods and MATLAB Programming Design covering various optimization algorithms including constrained penalty function method, complex method, coordinate rotation method, multiplier method, simplex method, cutting plane method, particle s
Solving TSP Problems Using Ant Colony Optimization Algorithm
Implementing Ant Colony Optimization to solve Traveling Salesman Problems, with beginner-friendly code examples and algorithm explanations.
MATLAB Implementation of Enhanced Genetic Algorithm with Natural Number Encoding
This program implements an improved genetic algorithm utilizing a novel natural number encoding scheme, which significantly reduces chromosome length and enhances computational efficiency. The algorithm replaces traditional binary encoding with natur
MATLAB Source Code for Robot Path Planning Based on Ant Colony Algorithm
MATLAB implementation of ant colony optimization for robotic path planning with heuristic search and pheromone-based navigation
MATLAB Genetic Algorithm Implementation: Flight Scheduling Optimization Routine
Genetic Algorithm Implementation: MATLAB-based flight scheduling optimization using genetic algorithms for sequencing and conflict resolution, featuring chromosome encoding, fitness evaluation, and selection/crossover operations.