Professional MATLAB source code with comprehensive documentation and examples
GMDH-type Polynomial Neural Network A MATLAB implementation of Group Method of Data Handling (GMDH) for building polynomial neural networks. The algorithm iteratively constructs network layers where the exact architecture (connections) and size (numb
MATLAB Implementation Code for Single Parent Genetic Algorithm with Comprehensive Genetic Operations
Implementation of a two-dimensional path planning algorithm utilizing Ant Colony Optimization (ACO). The code simulates ant foraging behavior through pheromone deposition and evaporation mechanisms to identify optimal paths. For detailed implementati
The Teaching-Learning-Based Optimization (TLBO) algorithm is a classical and widely-used swarm intelligence optimization technique. Unlike many swarm intelligence algorithms, TLBO requires only essential parameters—population size and termination cri
The Fuzzy C-Means (FCM) algorithm tends to converge to local minima. To overcome this limitation, we integrate genetic algorithms into the FCM optimization process. The genetic algorithm generates initial cluster centers, which are then refined using
MATLAB Simulation Source Code for QoS Multicast Routing with Ant Colony Optimization Algorithm
Source Code Implementation of Immune Algorithm - Shared for Collaborative Learning and Development
The Ant Lion Optimizer (ALO) algorithm simulates the natural hunting mechanism of antlions. The five primary stages include ants' random walks, trap construction, entrapment of prey, prey capture, and trap reconstruction. This algorithm is particular
This MATLAB code demonstrates the application of simulated annealing algorithm to solve Traveling Salesman Problem (TSP), featuring optimization techniques and strategic implementations for enhanced performance and solution quality.
A versatile MATLAB program implementing genetic algorithm optimization for solving job shop scheduling problems, featuring customizable constraints and objective functions
This resource explores face recognition systems and breast cancer classification algorithms using LVQ neural networks, supplemented with illustrative diagrams and implementation insights.
Source code implementation for Bayesian classification experiments used in pattern recognition course laboratory assignments
AdaBoost Algorithm - One of the Fastest Classification Methods with MATLAB Source Code Implementation and Detailed Technical Explanations
Application example of genetic algorithms for multi-objective optimization, specifically for maximizing nonlinear functions with code implementation insights.
Detailed explanation of Kruskal's algorithm for minimum spanning trees, including practical examples and code implementation considerations
Genetic Algorithm with decimal encoding implementation for optimization problems
MATLAB implementation of pedestrian detection algorithm using HOG, LBP, and HIKSVM, including the libsvm-mat-3.0-1 package with comprehensive feature extraction and classification code.
A comprehensive suite of neural network programs and mini-applications, offering diverse selection for various implementation needs.
MATLAB implementation of simulated annealing algorithm for computing the minimum value of a function, featuring parameter configuration and optimization process explanation
The latest MATLAB interface for libsvm supports compilation on 64-bit operating systems, overcoming the 4GB memory process limitation for handling large-scale datasets through optimized memory management and parallel computing capabilities.