Professional MATLAB source code with comprehensive documentation and examples
A new active contour model algorithm that simplifies traditional implementation processes while improving performance. The associated paper "Active Contours Driven by Local Image Fitting Energy" was published in Pattern Recognition (2009). This appro
This algorithm solves optimization problems through mathematical modeling and simulation of natural grasshopper swarm behavior. Suitable for multi-objective optimization scenarios. Copyright belongs to the original author, with respect to the origina
MATLAB code for BP neural network algorithm that uses pre-trained network file ANN.mat to predict new data files, calculates mean squared error, and generates comparative plots between predicted and original data. Includes code explanations for data
Application Background: This code is designed for robotic grasp learning, enabling robots to determine optimal grasping strategies (e.g., grasping a cup by its body vs. handle). It utilizes multimodal data including cups, remote controls, and cameras
Image segmentation based on Pulse-Coupled Neural Networks (PCNN), which has become a research hotspot in recent years with significant applications in biological neuron simulation and pattern recognition.
Implementation code for BP neural network optimization using genetic algorithms, personally tested and verified as functional
This repository contains MATLAB implementations for optimizing Diagonal Recurrent Neural Networks (DRNN) using Genetic Algorithm (GA), Particle Swarm Optimization (PSO), and Backpropagation (BP) algorithm, featuring complete code structures and param
This implementation addresses convergence issues in standard ant colony clustering algorithms, delivering superior clustering performance (results visualized in attachments). The enhanced version incorporates genetic algorithm principles through muta
Artificial Immune Algorithm program implementation in MATLAB, featuring immune-inspired optimization techniques for problem-solving applications.
Simulated annealing approach for continuous function optimization problems with excellent simulation performance and practical application examples
MATLAB source code for optimizing BP neural networks using the Levenberg-Marquardt algorithm, featuring enhanced parameter tuning and improved convergence properties.
The LS-SVMlab toolbox and sample programs provide excellent reference value for implementing Least Squares Support Vector Machines, including key algorithmic components and practical code demonstrations.
Implementation of image segmentation algorithm using K-means clustering method for RGB and HSR images. The approach demonstrates strong performance with practical results worth referencing for similar applications.
Implementation of Backpropagation Algorithm for XOR Problem using Sigmoid-activated Feedforward Multi-layer Neural Networks with Error Backpropagation Learning
Nonlinear Function Extremum Optimization
This approach combines chaos theory with generalized regression neural networks for short-term load forecasting, achieving satisfactory predictive performance through nonlinear system analysis and machine learning implementation.
Implementing camera self-calibration parameter computation with genetic algorithms, accompanied by detailed MATLAB code and comprehensive paper documentation
Complete MATLAB program for gait recognition featuring full implementation of AdaBoost algorithm with detailed code comments and performance optimization.
Solving TSP (Traveling Salesman Problem) Shortest Path Optimization Using Genetic Algorithm (with accompanying matlab source code.txt)
Pattern Recognition and Image Normalization: Computer Vision Preprocessing Techniques with Implementation Insights