RBF Neural Network for Regression Applications
MATLAB implementation of RBF neural network for regression tasks with customizable parameters for various scenarios
Simulated Annealing Algorithm Code Implementation
Simulated Annealing Algorithm (SAA) Implementation for Solving the 0-1 Knapsack Problem with Code Structure Explanation
Implementation of Ant Colony Optimization Algorithm
This approach applies the Ant Colony Optimization algorithm to solve constrained optimization problems, extending the foundational algorithm with constraint-handling mechanisms through pheromone matrix modifications and penalty function integration.
MATLAB Support Vector Machine Classification Toolkit
This MATLAB toolkit for SVM classification provides detailed usage instructions with comprehensive code examples and implementation guidance
Long Memory Feature-Based Time Series Forecasting Model
An effective time series forecasting model based on long memory characteristics, offering superior accuracy compared to standard neural networks. I have personally implemented and consistently used this model in production environments.
Particle Swarm Optimization (PSO) for Support Vector Machine (SVM) Parameter Tuning
Using Particle Swarm Optimization (PSO) to optimize Support Vector Machine (SVM) parameters -c and -g with implementation insights
Genetic Algorithm for Robotic Path Planning with MATLAB Implementation
MATLAB Code Implementation of Genetic Algorithm for Robotic Path Planning
Enhanced K-Means Clustering Algorithm for Image Segmentation
An improved K-means clustering algorithm optimized for integration with image segmentation techniques, featuring enhanced feature extraction and clustering efficiency through code-level optimizations.
Robotic Path Planning Demonstration with Dijkstra-Inspired Genetic Algorithm
A demonstration program showcasing robotic path planning using a Dijkstra-enhanced genetic algorithm implementation with interactive visualization capabilities.
MATLAB Source Code for Ant Colony Optimization Algorithm
MATLAB source code implementations for Ant Colony Optimization algorithms, featuring solutions for path planning, maximum value optimization, and Traveling Salesman Problem (TSP) with detailed algorithm explanations
MATLAB Genetic Algorithm Toolbox
Genetic Algorithm (GA) is a stochastic optimization search method inspired by biological evolution principles (survival of the fittest, natural selection mechanism). Its main characteristics include operating directly on structural objects without re
Cluster Analysis on IRIS Data Using Partitional Clustering Algorithms
Implementation of partitional clustering algorithms for cluster analysis on the IRIS dataset, which contains measurements from three distinct species of iris flowers. The dataset comprises 3 pattern classes with 4 feature dimensions, containing 50 pa
TSP Implementation Using Genetic Algorithm
Implementation of Traveling Salesman Problem using Genetic Algorithm, including simulated route visualization maps with algorithmic parameter explanations
Particle Swarm Optimization Combined with Continuation Power Flow Method
This hybrid approach combines Particle Swarm Optimization and Continuation Power Flow method to optimize transformer tap settings through multi-variable optimization, significantly enhancing system stability through coordinated parameter adjustments.
Recognition of 10 Handwritten Digits Using BP Neural Network
This project designs a Backpropagation (BP) neural network to accurately recognize 10 handwritten digits, implementing image preprocessing, feature extraction, and classification algorithms through MATLAB/Python code.
MATLAB Implementation of Binary PSO for Solving the 0-1 Knapsack Problem
This MATLAB program utilizes a binary particle swarm optimization (PSO) algorithm to solve the 0-1 knapsack problem, featuring binary encoding for item selection and optimization for weight constraints and value maximization.
C4.5-Based Decision Tree Algorithm: A Nonlinear Classification Approach
Implementation of the C4.5 decision tree algorithm, a nonlinear classifier with enhanced feature selection using information gain ratio
DoG (Difference of Gaussian) Filter Operator
The DoG (Difference of Gaussian) filter operator is primarily used for edge feature extraction and serves as preprocessing for segmentation in pattern recognition. Its main parameters are the variances of two Gaussian functions, and designing appropr
ICA-Based Face Recognition Method
The ICA face recognition method achieves high recognition rates with optimized algorithms and demonstrates significant practical value in real-world applications.
Image Segmentation Implementation Using Genetic Algorithm in MATLAB
Implementation of image segmentation through genetic algorithms using MATLAB programming language, including optimization techniques and practical applications.