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| 一种新的神经模糊系统及其应用 | |
| 引用本文： | 王艳芹,刘严崴,王淑梅.一种新的神经模糊系统及其应用[J].自动化技术与应用,2007,26(7):135-136,99. |
| 作者姓名： | 王艳芹 刘严崴 王淑梅 |
| 作者单位： | 1. 大庆师范学院,物理与电气信息工程系,黑龙江,大庆,163712 2. 大庆油田电力集团计划经营部,黑龙江,大庆,163453 3. 大庆师范学院,人力资源部,黑龙江,大庆,163712 |
| 摘 要： | 为了解决非高斯非线性系统的辨识问题,提出一种新型神经模糊系统,应用微分中值定理和Weierstrass定理证明了新系统具有通用逼近性.为验证其效能,已将其应用于油田试井压力的建模和预报,取得很好效果. |
| 关 键 词： | 神经网络 模糊系统 神经模糊 逼近 辨识 试井 神经模糊系统 应用 Application 效果 建模和预报 井压力 油田 验证 通用逼近性 定理证明 微分中值定理 辨识问题 非线性系统 非高斯 |
| 文章编号： | 1003-7241（2007）07-0135-03 |
| 收稿时间： | 2007-01-24 |
| 修稿时间： | 2007-01-24 |
A New Neural-Fuzzy System and its Application |
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| WANG Yan-qin,LIU Yan-wei,WANG Shu-mei.A New Neural-Fuzzy System and its Application[J].Techniques of Automation and Applications,2007,26(7):135-136,99. | |
| Authors: | WANG Yan-qin LIU Yan-wei WANG Shu-mei |
| Affiliation: | 1.Physics and Electrical Information Engineering Department, Daqing Normal University, Daqing, 163712 China; 2.Planning Business Department, Electric Power Group of Daqing Oilfield, Daqing, 163453 China; 3.Human Resource Department,Daqing Normal University,Daqing, 163712 China |
| Abstract: | In order to solve the identification problem for nonlinear systems, a new neural-fuzzy system is proposed, and its universal approximation is proved by using the differential law of mean and Weierstrass theory. An application example of modeling and predicting on oilfield wells is also given. |
| Keywords: | neural networks fuzzy systems neural-fuzzy approximation identification well testing |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ | |
