Professional MATLAB source code with comprehensive documentation and examples
Code routines and learning materials for pattern recognition techniques including character recognition, K-L face recognition, iris recognition, and stroke recognition, featuring algorithm implementations and practical applications.
Image processing technique for English alphabet recognition implementing neural network methods with code implementation insights
Simplified Fuzzy Neural Network with streamlined architecture and comparable performance
A cutting-edge intelligent algorithm called the Firefly Algorithm, primarily designed for function optimization problems, featuring bio-inspired search mechanisms with code implementation characteristics.
Support Vector Machine implementation code with detailed algorithm explanations and MATLAB programming insights.
Numerical interpolation techniques including the Trapezoidal Rule, Simpson's Rule, Composite Trapezoidal Rule, and Composite Simpson's Rule with implementation insights for numerical integration algorithms
Implementation of gesture pattern recognition in MATLAB using basic algorithms introduced in pattern recognition courses, with detailed code structure and algorithmic explanations
Implementation of Adaptive Neural Network CNN using MATLAB with code integration
MATLAB-implemented multi-objective particle swarm optimization program based on Pareto dominance theory, validated through multiple benchmark test functions with excellent performance results.
Comprehensive explanation of K-means clustering algorithm concepts accompanied by practical implementations in MATLAB, C language, and C++ with detailed code descriptions.
Implementation of image classification using the Sequential Minimal Optimization (SMO) algorithm for Support Vector Machines, featuring code-level insights into feature processing and optimization techniques.
PSO Algorithm Toolbox for MATLAB: A comprehensive implementation enabling efficient optimization of multi-objective problems through swarm intelligence techniques, featuring configurable parameters and real-time convergence visualization.
Overview of simple and practical Particle Swarm Optimization toolboxes with implementation examples
A program implementing Particle Swarm Optimization (PSO) to enhance Backpropagation Neural Networks for classification tasks. The implementation follows a two-phase approach: first using PSO to optimize initial weights and thresholds, then training t
Implementation of a genetic algorithm for TSP using roulette wheel selection, partially matched crossover operator, and swap mutation design with code-level optimization strategies.
A comprehensive example of multi-objective optimization based on genetic algorithms, featuring practical implementations from the MATLAB toolbox with detailed code explanations
Neural network improved using ant colony optimization algorithm. ANT_object_func_ant is a neural network objective function generation program that computes fitness values. ANT_ant_new is the main program implementing the complete optimization framew
MATLAB simulation program for water quality prediction implementing Support Vector Machines (SVM) and chaos theory, featuring comprehensive documentation with algorithm explanations and code structure details. This graduation project includes robust
Grasshopper Optimization Algorithm - A Metaheuristic Approach Inspired by Swarm Behavior
MATLAB implementation of Artificial Bee Colony optimization algorithm featuring complete source code for swarm intelligence applications