Explore MATLAB source code curated for "优化" with clean implementations, documentation, and examples.
MATLAB source code for optimizing BP neural networks using the Levenberg-Marquardt algorithm, featuring enhanced parameter tuning and improved convergence properties.
This program implements genetic algorithm optimization of neural networks to address military expenditure prediction through computational programming
Enhancing RBF Network Performance in Function Approximation by Applying Genetic Algorithms to Minimize Approximation Errors
MATLAB source code implementing genetic algorithm optimization for BP neural network weight parameters, providing an evolutionary approach to enhance neural network performance through global optimization techniques.
MATLAB source code implementation of genetic algorithm for optimizing assembly line tasks, finding optimal assembly paths to enhance production line efficiency and performance
Implementation of Genetic Algorithm for Solving Optimal Power Flow Optimization Problems with Code Integration
This MATLAB implementation employs Particle Swarm Optimization (PSO) to optimize parameters in Radial Basis Function (RBF) neural networks, with testing demonstrating superior function approximation capabilities compared to non-optimized RBF networks through comprehensive benchmark validation.
Successfully implemented nonlinear least squares fitting with intensive debugging and significant code optimization. This implementation utilizes advanced algorithms and demonstrates improved computational efficiency.
A source code implementation of Particle Swarm Optimization and Genetic Algorithm optimized Radial Basis Function neural network, ready for direct deployment with comprehensive technical documentation.
A comprehensive implementation of RBF network approximation optimized by genetic algorithms, featuring parameter optimization techniques and neural network training approaches suitable for function approximation tasks.