| 模糊集合论和神经网络在油井测试中的应用方法研究 |
| |
| 引用本文： | 吴新杰,闫光辉,刘艳侠,梁雅秋.模糊集合论和神经网络在油井测试中的应用方法研究[J].辽宁大学学报(自然科学版),2000,27(2):131-134. |
| |
| 作者姓名： | 吴新杰 闫光辉 刘艳侠 梁雅秋 |
| |
| 作者单位： | 辽宁大学,物理系,辽宁,沈阳,110036 |
| |
| 摘 要： | 提出了一种基于模糊集合论和人工神经网络处理油井测量问题的方法，首先利用模糊集合论中的模糊聚类方法，将所使用的各种传感器灵敏度特性曲线进行分档归类，然后利用人工神经网络对各档次的传感器进行非线性估计，并在此基础上形成了一套寒带的算法，对于油井测试中测量精度的提高具有一定的实用意义。
|
| 关 键 词： | 模糊聚类 神经网络 模糊集合论 油井测试 应用 |
Application of Fuzzy Sets Theory and Artificial Neural Networks in Well Measurement Based on |
| |
| WU Xinjie,YAN Guanghui,LIU Yanxia,LIANG Yaqiu.Application of Fuzzy Sets Theory and Artificial Neural Networks in Well Measurement Based on[J].Journal of Liaoning University(Natural Sciences Edition),2000,27(2):131-134. |
| |
| Authors: | WU Xinjie YAN Guanghui LIU Yanxia LIANG Yaqiu |
| |
| Abstract: | A method dealing with wells measurement has been presented by using fuzzy sets theory and artificial neural networks. Firstly, based on fuzzy sets theory, various sensors were classified according to their sensitivity curves. Secondly, by using artificial neural networks, for nonlinear estimation for was proposed. With this method, a simple and practical algorithm has been developed, which can promote the precision of well measurement. |
| |
| Keywords: | fuzzy classification sensor nonlinear estimation artificial neural networks |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
|
