摘要
介绍了一种应用集成神经网络信息融合技术的油种鉴别系统。它以加权信息融合技术为基础,对各种油类的三维荧光谱的光谱分析数据采用集成神经网络进行油种鉴别。通过对机油的举例验证表明,该鉴别系统能将鉴别误差由7.59%减小到2.51%。该系统充分利用了数据信息,其诊断精度及学习能力明显优于单一神经网络诊断模型。
The oil identification system about integrated neural network information fusion is set up and studied. Based on the weighed information fusion technology, an integrated neural network is applied for the oil identification with 3-D fluorescence spectrum analysis results. Analysis result of the engine oil verifies that this system can decrease the discrimination error from 7.59% to 2.51%. The diagnose accuracy and study ability is better than unitary neural network model.
出处
《中国海洋平台》
2009年第3期47-51,共5页
China offshore Platform
基金
国家自然科学基金资助项目(20577038)
关键词
信息融合
集成神经网络
油种鉴别
information fusion
integrated neural network
oil identification
