针对单个神经网络的不足，以信息融合技术为基础，建立了集成神经网络故障诊断系统。
With an aim at the disadvantages of single neutral network, this paper sets up integrated neutral-network fault-diagnosis system based on information fusion technology.
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。
The oil identification system about integrated neural network information fusion is set up and studied.
介绍了数字图像处理、人工神经网络、多传感器信息融合技术以及虚拟仪器技术在无损检测中的应用情况。
The application of digital image processing, artificial neural network, multi-sensor data fusion and virtual instrument techniques to nondestructive testing are discussed.
为了更好地进行水轮机调速器的故障诊断，利用D - S证据推理对不同的神经网络技术得出的结果进行数据融合。
In order to better estimate the fault diagnosis of the hydraulic turbine governing system, the D-S evidential reasoning is used for data fusion with the result of different neural networks.
然后基于径向基函数神经网络的信息融合技术建立全舰统一姿态基准系统。
Then the unite attitude reference system of the whole ship is built based on the information fusion on the radial basis function neural networks.
为了提高流动电流仪（SCM）对自来水浊度检测的精度，文章提出了一种基于神经网络数据融合技术的数据处理方法。
This paper gives a methodology based on data fusion and realized by artificial Neural Networks to improve the accuracy of SCM which is used to measure the degree of turbidity of water supplying.
设计了一种基于粗糙集——模糊神经网络技术的数据挖掘与数据融合集成系统。
One kind of integrated data mining and data fusion system's model is designed with fuzzy neural network based on rough sets.
论述神经网络技术在图像数据层、特征层、决策层融合技术及融合前处理中应用的若干新进展；
Meanwhile the development of neural networks in the image fusion at pixel, feature and decision levels and other pre-fusion applications are dissertated.
为了进一步提高网络入侵检测系统的检测性能，将模糊积分理论和神经网络技术应用到网络入侵检测中，提出了基于模糊积分的多神经网络融合模型MNNF。
The model of Multiple Neural Networks by Fuzzy(MNNF) integral presented in this paper is an effective method to improve the detection performance of network intrusion detection system.
基于汽车的常见被盗方式，介绍了用多传感器采集信号、信息融合技术处理信号的方法，分析了信息融合技术的基本算法，讲述了神经网络的自学习和自组织能力。
Based on the usual means of stealing an automobile, this paper mainly introduces the methods of signal acquisition based on multi sensors and signal processing with information fusion technology.
针对单个神经网络的不足，以信息融合技术为基础，建立了集成神经网络故障诊断系统。
In view of the disadvantage of single neural network, this paper establishes an integrated neural network fault diagnosis system based on information fusion technology.
最后，提出了综合信息融合技术、人工神经网络技术、专家系统知识的智能化异步电动机故障诊断系统。
In the end, the intelligent asynchronous motor fault diagnosis system combining information fusion with artificial network as well as expert knowledge system is presented.
并重点研究了基于遗传—bp神经网络组合模型的二源、三源动态交通流数据融合技术。
Further, the dynamic traffic data fusion technique based on the GA-BP Model is studied for the dual-source and triple-source dynamic traffic data.
并重点研究了基于遗传—bp神经网络组合模型的二源、三源动态交通流数据融合技术。
Further, the dynamic traffic data fusion technique based on the GA-BP Model is studied for the dual-source and triple-source dynamic traffic data.
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