摘要
本文将模糊控制与神经网络相结合。用神经网络来实现模糊推理,提出了一种把B样条函数作为隶属函数的模糊神经网络,并将之用于磨削加工的质量控制。仿真结果表明,该系统具有响应快、稳态精度高、鲁棒性强等优点,能很好地应用于磨削加工的质量控制。
In this paper,A fuzzy neural network is presented to control grind manufacturing system in which fuzzy logic control and neural network are combined, the fuzzy inference is realized by neural network and the membership function is composed by B - Spline function. The results of simulations show that this system has rapid response speed, high steady state accuracy and good robustness. it can be applied to the grind manufacturing very well.
出处
《计算技术与自动化》
2002年第2期26-31,共6页
Computing Technology and Automation
