BP Algorithm Enhanced with Genetic Algorithm Development
A MATLAB-implemented program featuring BP algorithm improved with genetic optimization, successfully compiled and tested
Particle Swarm Optimization for Reactive Power Optimization in Power Systems
Particle Swarm Optimization (PSO) implementation for reactive power optimization in power systems - a metaheuristic algorithm designed to solve constrained single-objective optimization problems by simulating collective intelligence through particle
Solving Vehicle Routing Problem Using Genetic Algorithm
This article demonstrates how genetic algorithms can solve vehicle routing problems, providing practical insights and code implementation details for optimization challenges.
Research on Fast Learning Algorithms for BP Wavelet Neural Networks
Investigation of BP Wavelet Neural Network Fast Learning Algorithms and Implementation of Wavelet Neural Network Programs with Code Analysis
Hidden Semi-Markov Model: Implementation and Applications
The Hidden Semi-Markov Model enables computation through parameter substitution, suitable for pattern recognition, remaining useful life prediction, and other time-series analysis tasks. Implementation typically involves state duration modeling and f
Ant Colony Optimization for Shortest Path Finding
A MATLAB-implemented ant colony algorithm program for shortest path finding, featuring network node coordinates in the package for precise path calculations.
Specific Implementation of Analytic Hierarchy Process with MATLAB Code
Detailed MATLAB program implementation for Analytic Hierarchy Process, crucial for data mining applications with algorithmic explanations.
SVM Toolbox for MATLAB Environment
A support vector machine (SVM) toolbox designed for MATLAB environments, with essential features for researchers and practitioners working in machine learning.
Image Registration with Particle Swarm Optimization Implementation
A robust image registration program utilizing Particle Swarm Optimization algorithm for enhanced alignment accuracy, featuring parameter optimization and transformation matrix calculation.
MATLAB Implementation of Fuzzy C-Means Clustering Algorithm
MATLAB implementation of Fuzzy C-Means clustering, a fuzzy mathematics-based clustering method for image segmentation. This approach enables cluster analysis results for image analysis and recognition applications, with practical code examples demons
Reactive Power Optimization Program for Power Systems Based on Genetic Algorithm
A genetic algorithm-based reactive power optimization program for power systems, designed to enhance power system optimization using standard MATLAB implementation with fitness functions, chromosome encoding, and crossover/mutation operations.
MATLAB Implementation of DBSCAN Algorithm with Density-Based Clustering
DBSCAN algorithm distinguishes clusters by leveraging density variations in datasets, implemented in MATLAB with epsilon-neighborhood and core point identification.
Information Entropy-Based Immune Algorithm: A Modified Immune Algorithm Approach
The information entropy-based immune algorithm is a modified immune algorithm with a straightforward methodology that delivers strong performance for specific problem domains, featuring entropy calculation functions and enhanced antibody diversity ma
BP Artificial Neural Network Pattern Recognition Tutorial with Practical Examples
This tutorial provides comprehensive BP neural network examples for pattern recognition applications, featuring implementation guidance for facial recognition and gesture recognition systems with code structure explanations.
Design of Multi-Agent Cooperation and Competition Mechanisms
Integration of MATLAB with MAS systems to develop multi-agent cooperation and competition mechanisms, achieving promising results through algorithm implementation and simulation.
Quantum Immune Cloning for Solving the Knapsack Problem
Quantum Immune Cloning for Solving the Knapsack Problem – Confidential Material. Welcome to Share and Download.
Implementation of Simple Genetic Algorithm and Basic BP Network using MATLAB
Program implementation of a simple genetic algorithm and basic backpropagation neural network using MATLAB with detailed code structure and application examples
MATLAB Implementation of Sine Function Fitting with Neural Network Approaches
Sine function fitting using various BP neural network algorithms, including implementation details for backpropagation, gradient descent, and advanced network architectures.
Support Vector Machine Programming Resources
Key programs focusing on Support Vector Machine implementation, providing reference code with comprehensive algorithm explanations and practical applications.
Analysis of Key Functions in Quantum Genetic Algorithms
Examination of crucial functions in quantum genetic algorithms, providing valuable insights for algorithm implementation and practical applications