Explore MATLAB source code curated for "优化" with clean implementations, documentation, and examples.
Enhancing RBF neural networks' nonlinear function approximation capabilities through particle swarm optimization of network weights, with implementation insights into algorithm integration and weight updating mechanisms
MATLAB implementation of Particle Swarm Optimization algorithm applied to optimize K-means clustering. Successfully tested on MATLAB 6.5/7.1 versions (other versions not verified). The code integrates PSO's global search capabilities with K-means clustering to achieve improved clustering accuracy and performance.
Implementing GA-based parameter optimization for LSSVM in MATLAB platform, featuring practical code examples and algorithm explanations.
Utilizing the latest 100 periods of Double Color Ball lottery draw numbers, this approach employs genetic algorithm to optimize BP neural network parameters for enhanced prediction accuracy
Implementation of Biogeography-Based Optimization (BBO) evolutionary algorithm code with multiple test function suites; Usage: Input BBO(@FunctionName), for example BBO(@QuarticDisc) to execute the algorithm with specified objective function.
This program implements matrix optimization in compressed sensing theory using alternating projection methods. The algorithm minimizes coherence between sampling and sparse matrices by iteratively projecting onto structural and incoherence constraint sets, significantly reducing mutual correlation for improved signal recovery performance.
This implementation combines Particle Swarm Optimization (PSO) with its rapid convergence characteristics and Backpropagation Neural Networks (BPNN) with strong global search capabilities. The program has been successfully debugged and demonstrates superior performance through the integration of these two algorithms, featuring optimized parameter initialization and adaptive learning rate mechanisms.
Implementing PSO-based SVM optimization with grouped training methodology to enhance algorithmic efficiency
Nonlinear Function Fitting with Hybrid Optimization Algorithm Implementation
MATLAB implementation of Bayesian inference for optimizing Least Squares Support Vector Machine parameters with enhanced computational efficiency