| 自适应神经网络及其在刀具智能监控中的应用 |
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| 引用本文： | 雷鸣,朱心飚,吴昆红,刘延林.自适应神经网络及其在刀具智能监控中的应用[J].华中科技大学学报(自然科学版),1993(5). |
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| 作者姓名： | 雷鸣 朱心飚 吴昆红 刘延林 |
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| 作者单位： | 华中理工大学机械工程一系
(雷鸣，朱心飚，吴昆红)，华中理工大学机械工程一系(刘延林) |
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| 基金项目： | 国家八六三高科技研究基金资助项目 |
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| 摘 要： | 讨论了神经网络的拓扑结构的学习和神经元激活函数等问题,提出了自构形神经网络的概念和算法,较好地解决了隐节点数目选取问题.将自适应神经网络用于刀具加工状态智能监控的信号融合之中,取得了满意的结果.
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| 关 键 词： | 人工神经网络 自构形算法 拓扑结构 刀具加工状态 智能监控 |
An Adaptive Learning Algorithm of Neural Networks and Its Application in Intelligent Tool Condition Monitoring |
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| Lei Ming Zhu Xinbiao Wu Kunhong Liu Yanlin.An Adaptive Learning Algorithm of Neural Networks and Its Application in Intelligent Tool Condition Monitoring[J].JOURNAL OF HUAZHONG UNIVERSITY OF SCIENCE AND TECHNOLOGY.NATURE SCIENCE,1993(5). |
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| Authors: | Lei Ming Zhu Xinbiao Wu Kunhong Liu Yanlin |
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| Institution: | Lei Ming Zhu Xinbiao Wu Kunhong Liu Yanlin |
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| Abstract: | Several aspects of the learning issue for artificial neural networks are studied, that is, network structure and activation characteristics. The self-configuring neural networks and an adaptive learning algorithm are proposed. It is very difficult to determine a suitable network structure beforehand when a hierarchical neural network is used for a specific problem. A compact structuring method based on learning is proposed, which consists in gradually compressing the redundant hidden nodes to give a suitable network size. As a result, the network obtained is of small size and has excellent performance. The sensing with spindle motor power, the acceleration sensor and acoustic emission sensor on a workstation are described. The self-configuring neural networks have been successfully used for sensor fusion in intelligent tool condition monitoring. |
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| Keywords: | artificial neural networks self-configuring algorithm topological structure tool condition intelligent monitoring |
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