Neural Network PID Simulation Program
Neural Network PID simulation program that can be directly imported into MATLAB for immediate execution
PID Neural Network-Based System Control Algorithm
System control algorithm based on PID neural network, PSO-optimized PID neural network system control algorithm, PID neural network control algorithm with momentum term, and parameter-based PID neural network system control algorithm
Example of Standard Particle Swarm Optimization Algorithm with Code Implementation
A comprehensive example demonstrating the standard Particle Swarm Optimization algorithm, featuring detailed code explanations and algorithm structure analysis suitable for beginners studying optimization techniques.
Image Enhancement Method Using Quantum Genetic Algorithm
This algorithm implements an image enhancement approach based on quantum genetic algorithm, consisting of multiple MATLAB .m sub-files. The method utilizes quantum rotation gate operations to optimize image quality through evolutionary computation.
Genetic Algorithm Program for Workshop Job Scheduling
MATLAB implementation of genetic algorithm for workshop job scheduling optimization with configurable parameters
MATLAB Implementation of PSO-Optimized BP Neural Network with Source Code
Source code for Particle Swarm Optimization (PSO) enhanced Backpropagation (BP) neural network, featuring comprehensive author annotations and algorithm implementation details.
Image Segmentation Using BP Neural Networks
Implementing image segmentation with Backpropagation Neural Networks, particularly effective for RGB-rich images. Uses RGB channels as three network inputs and trains the network against corresponding grayscale images with detailed algorithm implemen
Human Pulse Waveform Sample Dataset
A collection of 30 human pulse waveform samples including both healthy individuals and drug users, ideal for pattern recognition research with feature extraction and classification algorithm implementations
Function Optimization Analysis Based on Bacterial Foraging Algorithm
With the rapid development of swarm intelligence optimization algorithms, Passino introduced the Bacteria Foraging Optimization Algorithm (BFOA) in 2002, simulating the foraging behavior of E. coli bacteria and adding a new member to the family of bi
Experimental System for SVM Pattern Classification Method
MATLAB-based experimental system for SVM pattern classification featuring simulation experiments with practical examples, suitable for reference and implementation studies
Path Planning Algorithm
Enhanced D* Algorithm Implementation for Route Planning
BP Neural Network Adaptive Learning Rate Training Algorithm
BP Neural Network Adaptive Learning Rate Training Algorithm utilizing minimum error method, gradient descent approach, and adaptive weight adjustment mechanisms
Radial Basis Function Neural Network Program (Clustering Algorithm)
Radial Basis Function Neural Network Program (Clustering Algorithm) developed using MATLAB software. The implementation utilizes MATLAB's neural network toolbox for efficient clustering analysis through radial basis function activation.
Source Code Implementation of a Chaotic Particle Swarm Optimization Algorithm
A comprehensive source code package for a chaotic particle swarm optimization algorithm, including multiple benchmark test functions for performance evaluation. This practical implementation demonstrates hybrid optimization techniques combining chaot
Marine Predators Algorithm (MPA): A Nature-Inspired Optimization Approach
The Marine Predators Algorithm (MPA) is a nature-inspired optimization technique that mimics the natural rules governing optimal foraging strategies and predator-prey velocity interactions in marine ecosystems. This algorithm employs three distinct v
Linear SVM Algorithm for Classifier Design
Linear SVM algorithm for designing a classifier to perform classification on datasets with implementation insights
Dynamic Clustering and Iterative Self-Organizing Data Analysis Algorithm (ISODATA) Implementation in MATLAB
MATLAB implementation of Dynamic Clustering or Iterative Self-Organizing Data Analysis Algorithm (ISODATA) for clustering 2D data using adaptive center adjustment and automatic cluster number determination
Pattern Recognition in Image Processing Using Genetic Algorithm
MATLAB implementation for pattern recognition in image processing utilizing genetic algorithm optimization, featuring image preprocessing, feature extraction, and performance evaluation modules.
Semi-supervised Affinity Propagation Clustering
Semi-supervised Affinity Propagation clustering algorithm implementation with data labeling integration. This enhanced version combines AP clustering methodology with partial supervision to improve clustering accuracy and stability.
MATLAB Simulated Annealing Toolbox
MATLAB Simulated Annealing Toolbox containing various functions required for simulated annealing execution, serving as a powerful tool for optimization algorithms with built-in implementations for temperature scheduling, neighbor selection, and accep