| 基于模糊神经网络的磨矿分级智能控制系统的研究 |
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| 引用本文： | 高兰,贾瑞强,钱鑫. 基于模糊神经网络的磨矿分级智能控制系统的研究[J]. 中国矿业, 2001, 10(5): 44-46 |
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| 作者姓名： | 高兰 贾瑞强 钱鑫 |
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| 作者单位： | 昆明理工大学, |
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| 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。
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| 关 键 词： | 磨矿分级 BP网络 模糊神经网络 智能控制 自适应能力 |
| 修稿时间： | 2001-02-12 |
STUDY ON FUZZY-NEURAL NETWORK BASED INTELLIGENT CONTROL SYSTEM FOR GRINDING-CLASSIFICATION |
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| Gao Lan Jia Ruiqiang. STUDY ON FUZZY-NEURAL NETWORK BASED INTELLIGENT CONTROL SYSTEM FOR GRINDING-CLASSIFICATION[J]. CHINA MINING MAGAZINE, 2001, 10(5): 44-46 |
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| Authors: | Gao Lan Jia Ruiqiang |
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| Abstract: | 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. |
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| Keywords: | Grinding classification BP network Fuzzy neural network Intelligent control system |
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