Training Fuzzy Neural Networks Using Sampled Data
My custom implementation for training fuzzy neural networks with sampled data, including both datasets and program code with comprehensive data preprocessing and network training modules.
Application of Ant Colony Algorithm in Shortest Path Problems with Robot Path Planning Extensions
This program implements an ant colony optimization algorithm for solving shortest path problems, which can be readily extended to robot path planning applications with minimal modifications to the core algorithm structure.
Nearest Neighbor Algorithm for Pattern Recognition Problems with MATLAB Implementation
MATLAB implementation of the nearest neighbor algorithm for pattern recognition, featuring clear code examples and practical explanations
Emerging Machine Learning Techniques
Utilizing emerging machine learning approaches: transfer learning for image classification with significantly improved classification performance and practical implementation strategies.
Various Numerical Optimization Algorithms
Comprehensive overview of numerical optimization algorithms including Newton's method, quasi-Newton methods, genetic algorithms, and more, with code implementation insights.
Particle Swarm Optimization Example for Unit Commitment Problem
A comprehensive particle swarm optimization implementation for solving unit commitment problems, featuring detailed algorithm explanations and MATLAB/Python code structure for practical learning and application
Particle Swarm Optimization for RBF Network Enhancement
This MATLAB implementation employs Particle Swarm Optimization (PSO) to optimize parameters in Radial Basis Function (RBF) neural networks, with testing demonstrating superior function approximation capabilities compared to non-optimized RBF networks
Algorithm Implementations for Class Imbalance Classification Problems
Implementation of several algorithms for handling class imbalance in classification problems, including PNN (Probabilistic Neural Network), SMOTE (Synthetic Minority Over-sampling Technique), and BP-AdaBoost (AdaBoost with Backpropagation Neural Netw
Artificial Fish Swarm Algorithm for Solving the Traveling Salesman Problem
Implementation of Artificial Fish Swarm Algorithm to solve the Traveling Salesman Problem - Currently the only available online implementation, personally developed with guaranteed successful convergence
Ant Colony Optimization Algorithm Paper with MATLAB Source Code for Beginners
Comprehensive guide to Ant Colony Optimization algorithm with MATLAB source code, designed for beginners. Explores application domains, implementation methodology, and includes executable simulation code with detailed comments. Features practical exa
Medical Brain Tissue Image Segmentation Using Type-2 Fuzzy Clustering Algorithm
Implementation of Type-2 Fuzzy Clustering Algorithm for Medical Brain Tissue Image Segmentation
The Fundamental Concept of SVM Method
The core idea of SVM method involves defining an optimal linear hyperplane and formulating the algorithm for finding this hyperplane as a convex optimization problem. Based on Mercer's kernel theorem, SVM employs a nonlinear mapping φ to transform th
MATLAB Genetic Algorithm Toolbox and Practical Application Examples
Comprehensive guide to MATLAB's Genetic Algorithm Toolbox with implementation examples and optimization case studies.
Implementation of ANFIS Neural Network in MATLAB Development Environment
A practical implementation example of ANFIS neural network in MATLAB, designed to help beginners learn and master hybrid intelligent systems through hands-on coding experience
MATLAB Simulated Annealing Algorithm Toolbox
MATLAB Simulated Annealing Algorithm Toolbox - A widely-used free international toolbox operating in MATLAB environment. Detailed usage instructions are included in the compressed package, featuring implementation of standard simulated annealing opti
Image Clustering in Image Processing Technology
A program for image clustering in image processing technology, designed to extract regions sharing identical grayscale values or other attributes from an image area.
Mean Shift Image Segmentation Software
Mean Shift Image Segmentation Software specialized for grayscale image processing, requiring RGB-to-grayscale conversion for color image handling
SVM Multi-Class Classification Using One-vs-One Strategy
This method selects samples from one class as positive examples while using samples from only one other class as negative examples for each binary classifier (known as "One-vs-One" approach). This prevents dataset skewness. The process involves creat
Application of Neural Network Classification in Breast Tumor Diagnosis for Medical Field
Neural Network Classification for Breast Tumor Diagnosis in the Medical Domain
Swarm Intelligence and Bio-inspired Computing - MATLAB Implementation of Hybrid Frog Leaping Algorithm Code
Swarm Intelligence and Bio-inspired Computing - MATLAB Implementation of Hybrid Frog Leaping Algorithm Code with Technical Execution Details