Using Particle Swarm Optimization to Train Neural Network Parameters

This package implements Particle Swarm Optimization (PSO) for training neural network parameters. Simply run demoPSOnet.m to observe dynamic 2D visualization of the optimization process, where particle positions represent potential neural network weight configurations and their movement reflects the PSO algorithm's search mechanism through solution space.

Neural Network Parameter Self-Tuning for Servo Motors

Servo motor neural network parameter self-tuning program utilizing BP error backpropagation algorithm to dynamically adjust PID control parameters for superior control performance