| 加工过程中基于最大熵的神经网络控制 |
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| 引用本文： | 张毅,姚锡凡.加工过程中基于最大熵的神经网络控制[J].组合机床与自动化加工技术,2004,106(9):32-33,47. |
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| 作者姓名： | 张毅 姚锡凡 |
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| 作者单位： | 1. 广东交通职业技术学院,航海系,广东,广州,510800
2. 华南理工大学,机械工程学院,广东,广州,510640 |
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| 基金项目： | 国家自然科学基金，教育部留学回国人员科研启动基金 |
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| 摘 要： | 切削过程恒力控制对于提高生产率、保证加工精度至关重要,本文将信息理论与神经网络理论相结合,提出了恒力切削过程中基于最大熵的神经网络控制,与自适应神经网络控制相比,具有收敛快,振荡小的特点.
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| 关 键 词： | 加工 熵 神经网络 智能控制 |
| 文章编号： | 1001-2265(2004)09-0032-03 |
Maximum- entropy based neural network control of machining process |
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| ZHANG Yi,YAO Xifan.Maximum- entropy based neural network control of machining process[J].Modular Machine Tool & Automatic Manufacturing Technique,2004,106(9):32-33,47. |
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| Authors: | ZHANG Yi YAO Xifan |
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| Affiliation: | ZHANG Yi YAO Xifan |
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| Abstract: | It is important of constant force control in cutting process for improving productivity and ensuring precision. The information theory and neural network theory are combined in this paper to propose maximum-entropy based neural network control of constant force in cutting process. The proposed control is of faster convergence and less vibration comparing with self-adaptive neural network control. |
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| Keywords: | machining entropy neural network intelligent control |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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