| 基于FNN智能型磨削参数决策系统 |
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| 引用本文： | 严涛,董秀林,周福章,李蕾.基于FNN智能型磨削参数决策系统[J].机床与液压,1999(4):27-29,22. |
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| 作者姓名： | 严涛 董秀林 周福章 李蕾 |
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| 作者单位： | 1. 洛阳工学院,洛阳,471039
2. 郑州电信局,郑州,450000 |
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| 摘 要： | 本文结合对磨削机理，模糊逻辑，神经网络的研究提出了一种基于ＦＮＮ的智能型磨削参数决策系统。在这个系统中，首先由上层专家系统决策出初始磨削参数，然后由两个ＦＮＮ单元对磨削参数进行修正。其中ＦＮＮ１利用磨削结果对磨削参数进行修正，ＦＮＮ２利用当前砂轮磨损状况对磨削参数进行修正。．
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| 关 键 词： | 模糊逻辑 神经网络 智能决策 磨削系统 |
FNN-based intelligent grinding parameter decision-making system |
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| Yan Tao et al.FNN-based intelligent grinding parameter decision-making system[J].Machine Tool & Hydraulics,1999(4):27-29,22. |
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| Authors: | Yan Tao |
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| Affiliation: | Yan Tao et al |
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| Abstract: | Based on the research of grinding mechanism,tuzzy control and artificial neural network,a FNN-based intelligent grinding parameter decision-making system is proposed in this paper. In the system, griding parameters are decided by upper - layer expert system. and then will be revised by two FNN units. Wheve one unit uses the actual results of grinding to repair these grinding parameters and another unit uses the current status of the grinder to repair them. So the suitable grinding parameters are obtained.By simulating it has been proved that the grinding parameters decision - making system is feasible and has high adaptive ability. |
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| Keywords: | Fuzzy logic Neural network Grinding system Intelligent decision-making |
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