Optimizing RBF Network Weights Using Particle Swarm Optimization

This approach utilizes Particle Swarm Optimization to optimize RBF network weights, updating individual best positions and global best positions based on fitness evaluation values, with key implementations involving fitness function design and velocity-position update mechanisms.