Genetic Algorithm for Solving Optimization with Constraints
This code implements a genetic algorithm to solve optimization problems with constraints and is ready for immediate execution.
Professional MATLAB source code with comprehensive documentation and examples
This code implements a genetic algorithm to solve optimization problems with constraints and is ready for immediate execution.
Implementing BP Neural Network Data Classification Algorithms in MATLAB with Speech Feature Signal Classification as an Example
Multi-Objective Particle Swarm Optimization (MOPSO) for parameter optimization and multi-objective problem solving
A simple yet effective partitioning algorithm based on fuzzy neural network is proposed for obstacle distance and bearing detection. BP neural network implementation enables robust obstacle environment classification and pattern recognition, providin
Implementation of an improved genetic algorithm incorporating immune mechanisms for optimization problems.
A novel and powerful SVM processing system featuring versatile data processing abilities, implementing sophisticated algorithms for enhanced performance across diverse data types.
Application of Backpropagation Neural Networks in population forecasting, utilizing historical population data to predict future demographic values through supervised learning algorithms
SVM MATLAB Interface - Provides a MATLAB environment for implementing Support Vector Machine classification with code integration capabilities
%code2_1 for Lecture 1 - Simpson's Rule numerical integration algorithm with implementation details
ICA-based image feature extraction implementation, complete with source code and sample images. The program is fully functional, well-documented, and provides excellent reference value for understanding ICA applications in computer vision.
The PSO algorithm parameter settings constitute the core component of the optimization toolbox integration, governing swarm intelligence behavior and convergence patterns.
This MATLAB implementation features highly efficient Independent Component Analysis (ICA) and Kernel ICA (KICA) algorithms, validated through experiments using the ORL face database with demonstrated rapid processing capabilities.
MATLAB source code implementation of genetic algorithm for optimizing assembly line tasks, finding optimal assembly paths to enhance production line efficiency and performance
MATLAB implementation of the Fuzzy C-Means clustering algorithm with detailed code explanations and practical applications.
Genetic Algorithm Implementation for TSP Problem with Four Distinct Cases: Multiple Traveling Salesmen Single Starting Point, Multiple Traveling Salesmen Multiple Starting Points, Single Traveling Salesman Using Point Coordinates Calculation, and Sin
C-means clustering BP neural network signal analysis and processing method for training and optimizing simulated data samples to enhance accuracy and performance, featuring implementation details of clustering algorithms and neural network training t
Vector-based neural network image edge detection with denoising capabilities, an excellent program for image processing applications featuring advanced feature extraction algorithms
A MATLAB source code implementation designed for online support Vector Machine regression identification, featuring iterative learning capabilities and real-time model updates.
This code implements a Grey Neural Network-based prediction algorithm where cumulative data summation serves as network input, implementing GM(1,1) grey modeling combined with neural network training
Genetic algorithm implementation for CARP with easily modifiable objectives and constraints. Based on the University of Sheffield Genetic Algorithm Toolbox - requires prior installation.