基于改进粒子群算法整定的PID网络流量控制研究-Particle swarm optimization based on improved PID tuning of network traffic control

神经网络的集体自动控制器代码集合，比如与PID、cmac、粒子群算法等集合-Collective neural network controller code set, such as the collection of PID, CMAC, particle swarm algorithm

除了蚁群算法，可用于PID参数优化的智能算法还有很多，比如遗传算法、模拟退火算法、粒子群算法、人工鱼群算法，等等。-In addition to the ant colony algorithm, can be used to optimize the PID parameters, there are many intelligent algorithms, such as genetic algorithms, simulated annealing algorithm, particle

粒子群PID参数自整定算法，简单易行，能够使用。-Particle swarm PID parameter auto-tuning algorithm, simple and can be used.