| 神经网络自学习控制研究 |
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| 引用本文： | 朱刚,张凯,尤昌德,胡保生.神经网络自学习控制研究[J].北京交通大学学报(自然科学版),1998,22(6):73-8. |
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| 作者姓名： | 朱刚 张凯 尤昌德 胡保生 |
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| 作者单位： | 北方交通大学电子信息工程学院，西安交通大学 |
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| 摘 要： | 提出一个新型仿真器网络结构并推导出学习算法；提出面向输入输出模型结构的自学习控制器训练结构并推导出学习算法，解决约束控制作用下多目标终态控制问题并实现感应加热温度智能控制．
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| 关 键 词： | 神经网络，自学习控制，训练算法，优化控制，温度控制，感应加热 |
Research on Self-Learning Control Based on Neural Networks |
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| Zhu Gang.Research on Self-Learning Control Based on Neural Networks[J].JOURNAL OF BEIJING JIAOTONG UNIVERSITY,1998,22(6):73-8. |
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| Authors: | Zhu Gang |
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| Abstract: | A new emulator structure network is presented and its training algorithm is deduced according to the gradient descent. A structure for the neural network training as a self learning controller suited for the input and output model is put forward and the related algorithm is deduced too. So the problem of the multi object final state controlling with the variable of control under a restrained function is solved. The intelligent control for the temperature of inductive heating can be realized accordingly. |
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| Keywords: | neural network self learning control training algorithm optimal control\ temperature control\ inductive teating |
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