| 神经网络的任务分解在抽油泵故障诊断系统中的研究 |
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| 引用本文： | 梁鸿,向逐聪,李学富,扬宝山. 神经网络的任务分解在抽油泵故障诊断系统中的研究[J]. 物探化探计算技术, 2000, 22(2): 144-146 |
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| 作者姓名： | 梁鸿 向逐聪 李学富 扬宝山 |
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| 作者单位： | 1. 石油大学,计算机系,山东,东营,257062
2. 胜利石油管理局,海洋开发公司,257237 |
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| 摘 要： | 作者通过神经网络的任务分解在抽油泵故障诊断神经网络系统的研究 ,分析了神经网络任务分解的理论依据 ,并通过实验得出了神经网络任务分解时所需遵循的几个结论 ,以及通过实验证明神经网络任务分解对于减少网络的收敛迭代次数是一种行之有效的方法
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| 关 键 词： | 神经网络 任务分解 抽油井 故障诊断 抽油泵 |
| 修稿时间： | 2000-01-03 |
APPLICATION OF NEURAL NET TASK ALLOCATION IN OIL PUMP FAULT DIAGNOSIS SYSTEM |
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| LIANG Hong,XIANG Zhu-cong,LI Xue-fu,ANG Bao-shan. APPLICATION OF NEURAL NET TASK ALLOCATION IN OIL PUMP FAULT DIAGNOSIS SYSTEM[J]. Computing Techniques For Geophysical and Geochemical Explorationxploration, 2000, 22(2): 144-146 |
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| Authors: | LIANG Hong XIANG Zhu-cong LI Xue-fu ANG Bao-shan |
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| Abstract: | In this article we study the theory of Neural Net Task Allocation and its application in Oil Pump Fault Diagnosis Neural Net System. Some conclusions would be reached with the task allocation problem experiments. These experiments also prove that meural net task allocation is an efficient method to reduce the time of convergence interation. |
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| Keywords: | neural net task allocation pumpping oil well fault diagnosis |
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