MATLAB Source Code for Quantum-Behaved Particle Swarm Optimization (QPSO) Algorithm
Complete MATLAB implementation of Quantum-Behaved Particle Swarm Optimization algorithm with detailed code explanations for researchers and developers
Professional MATLAB source code with comprehensive documentation and examples
Complete MATLAB implementation of Quantum-Behaved Particle Swarm Optimization algorithm with detailed code explanations for researchers and developers
MATLAB Programming for Artificial Neural Networks - Implementation and Algorithm Design
Sparse coding algorithm implementation and its application in "self-taught learning" machine learning frameworks, which combines limited labeled data with abundant unlabeled data from different distributions.
Two concise AdaBoost algorithms with Chinese comments, where the second code represents an improved version of the first with enhanced efficiency and accuracy.
MATLAB source code implementing genetic algorithm for job Shop Scheduling Problem, featuring chromosome encoding, fitness evaluation, and optimization operators
BP Neural Network Prediction - Original MATLAB implementation for traffic flow forecasting with code-level algorithm insights
A small demonstration using the mean shift method to enhance image contrast (development platform: MATLAB 7.0) with implementation details and algorithm explanation
Optimization Design of PID Controller Based on Particle Swarm Algorithm, Specifically Designed for Beginners' Learning with Code Implementation Insights
Implementing LVQ Neural Network Classification for Breast Tumor Diagnosis in MATLAB with Code Implementation Details
Fuzzy clustering algorithm implementation for data cluster analysis with MATLAB code demonstrations, providing reference material for researchers and developers.
Implementation of image segmentation using C-means clustering algorithm with MATLAB code, including comprehensive experimental report with code analysis and results evaluation
MATLAB program implementation of Ant Colony Algorithm - Sharing optimized heuristic solutions for collective intelligence problems
Particle Swarm Optimization (PSO) originated from Complex Adaptive System (CAS) theory, which was formally proposed in 1994. In CAS, members are called agents - for example, in studying bird flock systems, each bird represents an agent. Agents posses
Implementation of PSO algorithm for solving single-variable and multi-variable objective function optimization problems with code structure descriptions for multidimensional applications
MATLAB implementation of genetic algorithm for solving image segmentation problems with detailed code explanations
Exploration of Genetic Algorithm Applications with Code Implementation Insights
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Manual implementation of BP neural network for curve fitting without relying on toolbox functions, featuring custom gradient descent optimization and layer-by-layer error backpropagation for educational purposes
Comprehensive source code implementations of various PSO algorithms including Standard PSO, Hybrid PSO, and Improved PSO variants. Features detailed code comments and practical examples, making it an ideal resource for PSO beginners to understand alg