摘要
针对磨矿分级系统的特点 ,采用模糊逻辑与神经网络相结合的方法设计了基于模糊神经网络的磨矿分级智能控制系统。仿真结果表明 :系统搜索速度快 ,控制精度较高 ,不依赖被控对象 ,具有较强的抗干扰能力、自学习和自适应能力。
According to the properties of grinding classificaiton process,an intellegent control system on the basis of integration of fuzzy logic with neural network has been established.The simulation results show the features of the system such as high searching speed,high accuracy of control,independence from objects to be controlled,high ability of anti disturbance,self learning and self adaption.
出处
《中国矿业》
北大核心
2001年第5期44-46,共3页
China Mining Magazine
