Professional MATLAB source code with comprehensive documentation and examples
Ant Colony Optimization algorithm for robotic path planning with two algorithmic approaches: first, traversing all target nodes to find optimal path connections from the start node; second, finding the shortest path between specific start and target
MATLAB implementation of deep learning autoencoders. Requires downloading and configuring relevant files as specified in the documentation, including key libraries and toolkits for optimal performance.
Implementation of niche particle swarm optimization algorithms with 20 supporting research papers covering theoretical studies and practical applications of niche PSO techniques
Speech Feature Signal Classification with Implementation Approaches
Implementation of multiple pattern recognition algorithms in MATLAB including Chebyshev distance method, Mahalanobis distance method, and Euclidean distance method, each provided with various programming approaches and detailed code explanations.
This project implements an improved Vehicle Routing Problem (VRP) solution using genetic algorithms, specifically developed for academic research with detailed code documentation including comprehensive function and variable annotations, and essentia
Implementation of multi-objective particle swarm optimization algorithm using MATLAB software, including various test functions with performance analysis and code demonstrations.
Classification Prediction using Probabilistic Neural Networks - Transformer Fault Diagnosis based on PNN, with MATLAB reference code implementation for neural network applications.
Maximum two-dimensional information entropy principle; Improved genetic algorithm; Threshold-based image segmentation including a complete MATLAB source code implementation and several PDF documents explaining theoretical principles
MATLAB implementation for training neural networks with genetic algorithms to overcome local optima issues in neural network optimization, featuring population-based parameter evolution and fitness evaluation techniques.
This algorithm presents an improved particle swarm optimization (PSO) method for optimizing backpropagation (BP) neural networks, specifically designed for fault diagnosis in cascaded frequency converters. It includes both conventional BP neural netw
A function implementing fuzzy genetic algorithms that utilizes genetic algorithms to optimize fuzzy membership functions with enhanced code implementation details
A collection of MATLAB programs featuring BP neural network integration with data normalization functions for preprocessing
Implementation of Genetic Algorithm for Optimizing PID Controller Parameters in Electric Motor Control Systems using AI Techniques
Source code for implementing BP neural network in image compression applications - available for download with detailed technical documentation.
Support Vector Machine (SVM), first proposed by Corinna Cortes and Vapnik in 1995, demonstrates unique advantages in solving small-sample, nonlinear, and high-dimensional pattern recognition problems. It can be extended to other machine learning task
This optimized ant colony algorithm achieves desired computational effects through parameter adjustments, featuring enhanced convergence speed and solution quality.
This reference MATLAB implementation of RBF neural network modeling provides valuable insights into neural network architecture and training methodologies. The code demonstrates practical implementation approaches suitable for both educational and re