PSO-Optimized BP Neural Network Implementation with Code Analysis

This implementation demonstrates Particle Swarm Optimization (PSO) for enhancing BP neural network training, originally developed for academic research. The program addresses local optima convergence issues through intelligent swarm-based optimization techniques.

Particle Swarm Optimization for BP Neural Network Enhancement

This implementation of Particle Swarm Optimization (PSO) for fine-tuning BP neural networks originates from my senior's research thesis, providing an effective approach to improve neural network performance through intelligent parameter optimization. The code demonstrates practical integration of evolutionary algorithms with neural network training.