Dynamic Fuzzy Neural Network Implementation Routine
A practically tested implementation of dynamic fuzzy neural networks with functional codebase and documented performance results.
Face Recognition Using KPCA and SVM
KPCA and SVM combined for face recognition - SVM enhances classification performance while KPCA provides superior feature extraction using kernel functions inspired by SVM methodology
Real-Coded Genetic Algorithm with Practical Implementation Examples
Real-coded genetic algorithm featuring concrete implementation examples and excellent usability for continuous optimization problems.
ACO Algorithm Implementation for QoS Routing Problem
This implementation provides a complete MATLAB solution for QoS routing optimization using Ant Colony Optimization algorithm. The code includes parameter configuration, pheromone updating mechanisms, and path selection logic to efficiently solve netw
Extreme Learning Machine: A Faster Alternative to Support Vector Machines
Extreme Learning Machine is a faster algorithm compared to Support Vector Machines, featuring efficient training through randomized parameter initialization and applications in large-scale data processing.
Electric Power Distribution Network Reconfiguration
This program implements electric power distribution network reconfiguration using a MATLAB-based genetic algorithm for network topology optimization and load balancing
Non-Negative Matrix Factorization (NMF) and Its Subsequent Variants Compared with Independent Component Analysis (ICA)
The study covers Non-Negative Matrix Factorization (NMF) along with its subsequent algorithmic variants and comparative analysis with Independent Component Analysis (ICA), incorporating code implementation insights and application scenarios.
Ant Colony Optimization Algorithm for Solving Optimal Problems
Ant Colony Optimization Algorithm is suitable for finding optimal solutions and achieving shortest path planning with practical implementation approaches.
Learning Genetic Algorithms - Comprehensive Resource with Implementation Insights
An excellent learning material for genetic algorithms, particularly beneficial for beginners with added code-related explanations and practical implementation guidance.
Multi-Objective Optimization Using Particle Swarm Optimization (PSO)
PSO-based multi-objective optimization problem with two objective functions sharing a common variable, including algorithm implementation approaches
LS-SVMlab Toolbox: Implementation Guide with SVM Programming Examples
This guide explores the LS-SVMlab Toolbox functionality with detailed code examples for Support Vector Machine (SVM) implementation, covering data preprocessing, model training, and validation workflows.
Introduction to Particle Swarm Optimization Toolbox and Guide to Implementation
Overview of MATLAB's Particle Swarm Optimization Toolbox with practical implementation guidance and code integration techniques
Training Support Vector Machines Using Quantum-Behaved Particle Swarm Optimization
This program implements quantum-behaved particle swarm optimization to train support vector machines, with validation performed on the IRIS dataset to demonstrate method effectiveness
Genetic Neural Network-Based Image Segmentation
Genetic Neural Network-Based Image Segmentation [Practical Tutorial Example from Neural Network Applications]
MATLAB Implementation of Artificial Immune Algorithm with Code Descriptions
Artificial Immune Algorithm implementation using information entropy for antibody diversity measurement, with affinity maturation achieved through clone selection and hypermutation mechanisms
Gradient-Based RBF Neural Network Implementation
An RBF neural network program implemented using gradient descent method, designed for approximating and fitting input data patterns with optimization capabilities.
Image Processing and Pattern Recognition
Input: x: input image, ru, rd: row extension amounts (up and down), cl, cr: column extension amounts (left and right), extmod: extension mode. Valid extension modes include: Primarily used for image processing and pattern recognition applications wit
Clustering Algorithm Based on Genetic Simulated Annealing Optimization
While traditional genetic algorithms exhibit significant individual diversity during early iterations, the classic roulette wheel selection mechanism causes offspring production to correlate directly with parental fitness values. This often leads to
Optimized MATLAB Code for SVM Multi-Class Classification
Pre-tuned SVM multi-class classification MATLAB implementation including original dataset, featuring well-structured code with cross-validation support and parameter optimization for practical machine learning applications.
Implementation of BP Neural Network for Nonlinear Function Approximation
This MATLAB-based program implements Backpropagation Neural Network for nonlinear function approximation. The package includes MATLAB m-files for core implementation, validation scripts, and comprehensive documentation with parameter configuration gu