Neural Network Implementation Support Materials for MATLAB 7
Downloadable implementation support materials in .m file format for neural networks with MATLAB 7
Analysis of Particle Swarm Optimization Algorithm Principles with TSP Implementation
Based on an in-depth analysis of particle swarm optimization principles, we developed an enhanced PSO algorithm for TSP: a hybrid particle swarm approach that integrates concepts from genetic algorithms, ant colony optimization, and simulated anneali
Classic Density-Based Clustering Algorithm DBSCAN MATLAB Implementation
MATLAB implementation of the classic DBSCAN density-based clustering algorithm, featuring clear code structure with detailed algorithmic explanations, ready to run and experiment with
Multi-Class Support Vector Machine with Error Correcting Output Codes
Error Correcting Output Codes multi-class SVM implementation with custom-designed codebook using completely random encoding, demonstrating excellent performance for 7-15 class classification problems
Neural Control Implementation for Tanker Systems Using Only 9 Receptive Field Units
Implementation of neural control architecture for tanker vehicles with minimalistic 9-unit receptive field configuration, featuring code-level insights on network optimization and scalability
MATLAB Source Code Implementation for Intrusion Detection
MATLAB source files implementing network data intrusion detection using the libSVM toolbox for feature classification. Includes data normalization, parameter optimization via cross-validation, SVM model construction, and performance evaluation. The p
MATLAB Code Example for Genetic Algorithm Implementation
MATLAB implementation of genetic algorithm with function optimization example, featuring selection, crossover, and mutation operations
Ant Colony Optimization for Solving the Traveling Salesman Problem
Ant Colony Optimization is a probabilistic algorithm for finding optimal paths that mimics ants' path-finding behavior during food search, with implementations involving pheromone updates and path selection mechanisms to solve the classic Traveling S
MATLAB Implementation of Face Recognition Using ADABOOST Method
A MATLAB program for face recognition utilizing the ADABOOST algorithm with detailed code implementation and explanatory notes
Fuzzy Kernel Clustering: Algorithm Implementation and Applications
Implementation of fuzzy kernel clustering with supporting research papers for effective fuzzy clustering segmentation of data and images, demonstrating satisfactory performance in practical applications
Bat Algorithm Optimized Relevance Vector Machine for Enhanced Data Modeling and Prediction
Implementation of Bat Algorithm-Optimized Relevance Vector Machine for Accurate Data Modeling and Prediction
MATLAB Implementation of Dynamic Clustering Algorithm with Visualization
MATLAB-based dynamic clustering algorithm implementation that partitions datasets into distinct clusters, with final results visualized using dot matrix plots for clear pattern recognition.
Solving Vehicle Routing Problem Using Genetic Algorithm
Genetic Algorithm Implementation for Vehicle Routing Problem with Code Integration
Artificial Bee Colony Algorithm for Function Optimization Problem Solving
Implementation of Artificial Bee Colony Algorithm for function optimization with built-in standard benchmark functions including Sphere, Rastrigin, and Rosenbrock functions
MATLAB Implementation of Fuzzy Clustering Algorithm
Fuzzy clustering program successfully developed and tested in MATLAB 7.0 - Includes complete test routines with sample datasets for immediate validation and experimentation
Traveling Salesman Optimization Problem with Ant Colony Algorithm
The Traveling Salesman Problem (TSP) is a critical yet challenging optimization problem frequently encountered in undergraduate and graduate mathematical modeling competitions. I have developed a self-programmed intelligent solution using Ant Colony
Feature Selection Using Genetic Algorithm for Two-Class Component Recognition
This research explores feature selection problems in two-class component recognition using genetic algorithms, offering valuable insights for both recognition software design and academic paper writing, with practical code implementation approaches f
Fuzzy Control Algorithm Program Based on BP Neural Network
A complete fuzzy control algorithm implementation using BP neural networks, fully executable in MATLAB environment with neural network training and control optimization capabilities
Particle Swarm Optimization (PSO) Algorithm
Particle Swarm Optimization (PSO) is an evolutionary computation technique developed by Kennedy and Eberhart in 1995, inspired by simulations of bird flock predatory behavior. Similar to genetic algorithms, PSO operates as an iterative optimization t
Virtual Force-Guided Particle Swarm Optimization Algorithm for Fan-Shaped Sensor Area Coverage Optimization
A virtual force-guided particle swarm optimization algorithm for optimizing the area coverage of fan-shaped sensors. This algorithm simulates particle movement and interactions to determine optimal sensor placements, improving coverage range and dete