Algorithm Implementation for Data Clustering
This algorithm effectively implements data clustering, demonstrating robust performance and has been successfully validated in MATLAB 7.0
Threshold-Based Particle Comparison Criterion for Multi-Objective Constrained Optimization
A threshold-based particle comparison criterion for handling multi-objective constrained optimization problems, which retains infeasible solution particles with small ordinal values and constraint violations within acceptable ranges, facilitating evo
Hybrid Optimization Algorithm Combining PSO and GA
The PSO-GA hybrid optimization algorithm delivers superior optimization performance compared to standalone PSO or GA implementations, featuring enhanced global exploration and local exploitation capabilities.
Optimization of RBF Networks Using Particle Swarm and Genetic Algorithms
Implementation of RBF network optimization using Particle Swarm Optimization and Genetic Algorithms, featuring comparative analysis with code-based methodology descriptions
PSO-Trained BP Neural Network Implementation
MATLAB source code for training BP neural networks using Particle Swarm Optimization algorithm with comprehensive parameter configuration and performance evaluation metrics
Basic Particle Swarm Optimization Algorithm for Data Clustering - Implementation and Code Explanation
A fundamental implementation of Particle Swarm Optimization (PSO) for data clustering, featuring simplified code structures and detailed algorithm explanations ideal for beginners in machine learning and data analysis.
DBSCAN: A Density-Based Clustering Algorithm
DBSCAN (Density-Based Spatial Clustering of Applications with Noise) is a density-based clustering algorithm that identifies clusters by grouping regions with sufficiently high density and can discover arbitrarily shaped clusters in spatial databases
QPSO Demonstrates Superior Global Search Capabilities Compared to Basic PSO
QPSO significantly outperforms basic PSO in global search performance while achieving faster convergence speeds, making it ideal for complex optimization problems.
Target Firepower Allocation Problem Solved Using Genetic Algorithm
This program implements a genetic algorithm solution for target firepower allocation, guaranteed to produce your desired optimal results with robust optimization capabilities.
Particle Swarm Optimization Algorithm
MATLAB implementation of Particle Swarm Optimization algorithm featuring fast search speed, high efficiency, simple algorithmic structure, and suitability for real-valued optimization problems with comprehensive code documentation
Independent Component Analysis (ICA) Algorithm Implementation with Code
Algorithm implementation for Independent Component Analysis (ICA) and blind source separation (audio signal separation) with practical coding approaches
RBF Neural Network Function Approximation with Source Code
Source code implementation of RBF neural network for function approximation applications.
Genetic Algorithm Optimization for BP Neural Networks
Implementation of genetic algorithm-optimized BP neural network featuring a three-layer network architecture and elite preservation strategy for enhanced convergence
RBF Classification with Neural Network Implementation
Radial Basis Function Neural Networks with Code Implementation Approaches
Program for Optimizing Radial Basis Function Neural Network Parameters Using Particle Swarm Optimization
A MATLAB-based implementation of particle swarm optimization for tuning radial basis function neural network parameters to enhance model performance and prediction accuracy
Particle Swarm Optimization Algorithm Developed by International Scholars
A particle swarm optimization algorithm curated by international researchers, featuring comprehensive code implementation examples and detailed algorithmic explanations beneficial for both beginners and experienced practitioners.
Solving TSP Problems Using Genetic Algorithms with Implementation Details
This program demonstrates a step-by-step implementation of genetic algorithms for solving Traveling Salesman Problems (TSP), featuring detailed code execution processes. Simulation results confirm the program's feasibility and effectiveness, accompan
Real AdaBoost-Based Face Detection Implementation
A MATLAB face detection program utilizing Real AdaBoost algorithm, featuring comprehensive source code with detailed implementation of Haar feature extraction and weak classifier training processes.
MATLAB Neural Network Source Code for Digit Recognition
MATLAB neural network source code implementation for digit recognition with detailed algorithm explanations
MATLAB Implementation of Classical Neural Networks
MATLAB programs for implementing classical neural network architectures with practical coding examples.