Three-Dimensional Path Optimization for Submersibles Using Ant Colony Algorithm
Implementation of ant colony algorithm in MATLAB environment for optimizing submersible 3D path planning with excellent performance results
Integration of Wavelet Analysis and Neural Networks
Implementation of integrated wavelet analysis and neural networks, exploring the wavelet neural network as a novel architecture with key algorithmic components and layered processing capabilities.
MATLAB Implementation of Fuzzy Clustering Analysis with Code Examples
Source code for fuzzy clustering analysis including matrix normalization algorithms and fuzzy similarity matrix computation techniques
MATLAB Implementations of Various Particle Swarm Optimization Algorithms
Comprehensive collection of PSO algorithms including standard PSO, constriction factor PSO, inertia weight PSO, adaptive learning factor PSO, second-order PSO, chaotic PSO, and simulated annealing PSO. These robust implementations feature optimized p
Seismic Wavelet Extraction Methods in Digital Seismic Data Processing
MATLAB-based seismic wavelet extraction techniques for digital seismic data processing, featuring simulated annealing-based higher-order cumulant approaches with algorithm implementation details
MATLAB Implementation of Fuzzy Clustering Algorithm
A comprehensive MATLAB program for fuzzy clustering with detailed code comments, providing valuable learning resources for beginners to understand algorithmic implementation approaches
Image Fusion Quality Evaluation Function for Genetic Algorithm
MATLAB-based implementation of an evaluation function for assessing fused image quality, designed specifically for use with genetic algorithms in image fusion applications.
MATLAB Implementation of Particle Swarm Optimization Algorithm
Particle Swarm Optimization Algorithm implementation in MATLAB - a useful resource for optimization tasks and computational intelligence applications, featuring code explanations for velocity updates, position tracking, and fitness evaluation.
A* Path Planning Algorithm
The A* (A-Star) algorithm is the most efficient direct search method for finding shortest paths in static networks, serving as an effective solution for numerous search problems. The algorithm's performance improves as its heuristic distance estimate
Artificial Immune System Algorithm Source Code
A well-debugged source code implementation of an artificial immune system algorithm, ready for deployment with comprehensive functionality.
MATLAB Implementation of Affinity Propagation Clustering Algorithm with Practical Examples
This resource provides a complete implementation of Affinity Propagation (AP) clustering algorithm in MATLAB, including working examples and detailed code explanations, making it an excellent learning tool for understanding and applying AP clustering
Machine Learning Course Assignment: PCA, LDA Dimensionality Reduction with Naive Bayes Classifier Comparison
A machine learning course assignment implementing PCA (Principal Component Analysis) and LDA (Linear Discriminant Analysis) for dimensionality reduction. Unlike many online resources with sparse comments, this implementation includes comprehensive an
Implementation of Clonal Selection Algorithm in Immune Algorithm for Fault Diagnosis
The clonal selection algorithm within immune algorithm frameworks demonstrates excellent performance in fault diagnosis applications after implementation, leveraging pattern recognition and adaptive learning capabilities.
Training Character and Digit Recognition Using Radial Basis Function Neural Networks
Character and digit training based on Radial Basis Function (RBF) neural networks, primarily implemented for license plate recognition systems with excellent performance results
Building a PID Controller Model Using BP Neural Network
This project presents a meticulously developed model implementing a PID controller through BP neural network architecture, representing significant effort and innovative engineering implementation.
MATLAB Implementation of Threshold Segmentation Using 2D Histogram and Chaotic Particle Swarm Optimization
Threshold-based image segmentation method employing 2D histogram analysis and chaotic particle swarm optimization algorithm for enhanced accuracy
MATLAB Implementation of Adaboost_M1 Algorithm
A MATLAB implementation of the Adaboost_M1 algorithm designed for bundling multiple classifiers, representing a fundamental Boosting approach in machine learning
Gaussian Blur Image Restoration Method Using BP Neural Network
Implementation of Gaussian blur image restoration based on BP neural network, leveraging its excellent nonlinear approximation capabilities to achieve superior performance compared to traditional algorithms. Code implementation typically involves net
Multi-class Classification Using Hypersphere Support Vector Machines
Implement multi-class classification with hypersphere support vector machines, where each hypersphere encloses samples from one class using kernel-based optimization techniques.
Linear Discriminant Analysis (LDA) for Feature Selection
Linear Discriminant Analysis (LDA) for feature selection enables extraction of discriminative features from datasets or images, commonly applied in machine learning tasks such as classification or clustering. The method involves maximizing class sepa