| 递归神经网络及其在MOA状态预测中的应用 |
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| 引用本文： | 周龙 文远芳. 递归神经网络及其在MOA状态预测中的应用[J]. 高压电器, 1998, 34(1): 22-24,37 |
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| 作者姓名： | 周龙 文远芳 |
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| 作者单位： | 华中理工大学 |
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| 摘 要： | 提出了一种基于递归神经网络的MOA状态预测方法。通过实例对比,证明该方法优于常规的BP算法.为实现MOA状态的智能诊断及预测提供了一种有效的途径。
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| 关 键 词： | 网络 金属氧化物避雷器 预测 |
Recursive Neural Networks And Its Application In Forcasting the State of MOA |
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| Zhou Long,Wen Yuanfang,Zhan Qionghua. Recursive Neural Networks And Its Application In Forcasting the State of MOA[J]. High Voltage Apparatus, 1998, 34(1): 22-24,37 |
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| Authors: | Zhou Long Wen Yuanfang Zhan Qionghua |
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| Abstract: | A method is put forword to forcast the MOA's state based on the recursive neural network. By compared with the real example, it is better than the usual BP algorithm. In order to realize the imellectual diagnosis and forcast of the MOA's,state, we provide an effective,method. |
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| Keywords: | network MOA foccast |
| 本文献已被 CNKI 维普 等数据库收录！ |
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