| RBF神经网络在水中油含量检测中的应用 |
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| 引用本文： | 司光宇,李春阳,王永安. RBF神经网络在水中油含量检测中的应用[J]. 计算机工程与应用, 2004, 40(32): 221-223 |
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| 作者姓名： | 司光宇 李春阳 王永安 |
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| 作者单位： | 大庆石油学院计算机科学与工程学院,黑龙江,大庆,163318;大庆石油学院计算机科学与工程学院,黑龙江,大庆,163318;大庆石油学院计算机科学与工程学院,黑龙江,大庆,163318 |
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| 摘 要： | 传统的应用于仪器的油检测方法是根据朗伯-比尔定律所确立溶液吸光度与其浓度间的线性关系来进行测量的,但这种线性关系有严格的条件要求,难以保障。针对这种情况,该文提出将二者间的关系视为非线性的,并用RBF神经网络对它进行建模。系统测试的结果表明该方法是可行的和有效的。
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| 关 键 词： | 径向基函数神经网络(RBFNN) 油浓度检测 朗伯-比尔定律 |
| 文章编号： | 1002-8331-(2004)32-0221-03 |
Application of RBF Neural Network in Measuring System of Oil Concentration |
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| Si Guangyu Li Chunyang Wang Yongan. Application of RBF Neural Network in Measuring System of Oil Concentration[J]. Computer Engineering and Applications, 2004, 40(32): 221-223 |
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| Authors: | Si Guangyu Li Chunyang Wang Yongan |
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| Abstract: | Traditional measuring method for oil concentration used in apparatus is based on the linear relationship be-tween absorbency of solution and its concentration depicted by Lambert Beer Law.But the linear relationship needs strict requirements,and it is not easy to reach it.So this article comes up with such viewpoint to treat it as non-linear and exploit RBF neural network to model the non-linear relationship.The test results show that this way is feasible and effective. |
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| Keywords: | Radial Basis Function Neural Network(RBFNN) oil concentration measure Lambert Beer Law |
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