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| 应用BP神经网络预测原油含水率问题的研究 | |
| 引用本文： | 曾蕾蕾,夏伯锴,刘彬. 应用BP神经网络预测原油含水率问题的研究[J]. 中国测试技术, 2006, 32(4): 25-27 |
| 作者姓名： | 曾蕾蕾 夏伯锴 刘彬 |
| 作者单位： | 1. 中国石油大学信息科学与控制工程学院,山东,东营,257061 2. 胜利油田职工大学电气系,山东,东营,257061 |
| 摘 要： | 原油含水率是一个复杂的随机系统,本文根据射频原油含水分析仪的非线性问题(双值性),以及原油含水率与其影响因素之间存在的映射关系,建立了一个BP人工神经网络模型,并将其用于原油含水率的预测,给出BP算法动态演化过程的训练调试界面,并在算法上进行改进。实例表明,该模型软件预测精度高,有一定推广价值。 |
| 关 键 词： | BP网络 预测 含水率 VB语言 |
| 文章编号： | 1672-4984(2006)04-0025-03 |
| 收稿时间： | 2005-11-08 |
| 修稿时间： | 2006-01-12 |
Study of water containing forecasting of crude oil based on BP neural network |
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| ZENG Lei-lei,XIA Bo-kai,LIU Bin. Study of water containing forecasting of crude oil based on BP neural network[J]. China Measurement Technology, 2006, 32(4): 25-27 | |
| Authors: | ZENG Lei-lei XIA Bo-kai LIU Bin |
| Affiliation: | 1.College of Information Science and Control Engineering ,University of Petroleum,Dongying 257061,China;2.College for Workers and Staff of Shengli oil Field,Dongying 257061,China |
| Abstract: | Containing is a complicated stochastic system.A BP neural network model was established to forecast based on relationship mapping between water containing in crude oil and its influential factors.This also included training and debugging interface of dynamic evolvement process of BP algorithmic.The results indicate to use back propagation neural networks to perdict water containing has a high predicable ability and credibity.It is feasible in technology. |
| Keywords: | BP neural network Forecasting Containing water VB language |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ | |