该方法采用模糊神经网络融合诊断中心作为故障诊断的执行机构，算法上采用BP算法。
The method utilizes fuzzy neural network as executive institution of fault diagnosis, and utilizes BP algorithm as training algorithm of network.
利用网络撕裂法逐层将复杂装备撕裂为较为简单的单元，并充分利用粗糙集和神经网络融合方法的优点进行故障诊断。
A fault diagnosis method is presented in this paper which is based on the rough neural network and network ripping and for the complex equipment.
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.
该文提出一个有效的基于径向基函数神经网络的模型和状态数据融合的汽轮发电机智能估计方法。
An efficient model based on radial basis function neural network and intelligent estimating method for data fusion of the turbine-generator is presented.
Dieters不能看到具有“不能测量的纤细”的树突分支，而且，像许多其他人一样，从他的观察中，能够得出神经元在末端处融合在一起，从而构成一个连续的神经网络。
Dieters could not see the "immeasurably thin" terminal branches of the dendrites and, like many others, inferred from his observations that they must fuse to form a continuous network.
同时可以看到神经网络是一个融合多个缺陷分类特征的有效工具。
It is shown that neural network is a good tool to integrate information for defect classification.
特征级融合模块采用RBF神经网络，其功能是提取数据特征进而特征信息融合。
The feature level module adopts RBF neural network to extract feature of data and to make feature fusion.
讨论了数据融合与高阶神经网络的串行结合。
Discusses the serial combination of high order neural network and data fusion.
针对高噪音环境中的语音识别问题，提出一种利用模糊神经网络进行语音数据融合的新算法。
A new algorithm of employing the fuzzy neural network is proposed to realize speech data fusion for speech recognition under high noisy condition.
基于数据融合思想，提出一种新的神经网络故障诊断方法。
Basing on the thought of data fusion, we propose a new approach of neural network fault diagnosis.
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.
提出了一种基于统计理论、信息融合及神经网络的容差模拟电路故障诊断方法。
Based on statistics theory, data fusion and neural network, a new fault diagnosis method for analog circuits with tolerance is proposed.
依据复合故障特性，提出了一种基于信息融合与神经网络的复合振动故障诊断方法。
According to the compound vibration fault attribute, a method of compound vibration fault diagnosis based on information fusion and neural networks is proposed.
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.
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.
实践表明：神经网络BP算法数据融合方法可有效提高数据的可信度。
Practice verified: the data fusion method of BP neural network can increase effectively the credibility of the data.
该方法将气阀的压力信号和振动信号特征进行信息融合，再通过RBF神经网络进行故障诊断。
Pressure signal and vibration signal of valves are fused, and RBF neural network is used to diagnose fault by the information feature vectors constructed in this method.
文章针对水电仿真系统中水轮发电机机组的非线性动态数学模型建模复杂问题，提出了一种基于信息融合思想的神经网络模型。
Aiming at problematic complexity of the nonlinear dynamic mathematical modeling of generator in the hydro-electric simulation system, a neural network based on information fusion is brought forward.
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.
研究了基于多级神经网络的类型融合方法。
The target type fusion method based on multistage neural network is studied.
雷达和红外数据共同作为神经网络的输入，输出为目标的最优融合估计。
The processed data are transmitted to the central neural network where a fused estimation of target is formed.
研究了基于自适应特征融合及模块神经网络的手写体汉字识别。
I studied the handwritten Chinese character recognition techniques based on adaptive information fusion and module neural networks.
目前，专家系统、神经网络、以及信息融合等智能诊断系统已广泛的应用于液压系统的状态监测与故障诊断中。
Now, intelligence diagnoses system such as specialty system, neural network, and information mixing have been used in the condition monitoring and failure diagnose of hydraulic system.
针对超高压、大容量电力变压器的早期潜伏性故障，提出了一种基于数学形态学融合多神经网络的故障诊断新方法。
Aiming at early stage latent faults of EHV large capacity transformers, a new fault diagnosis method based on mathematical morphology combined with multiple neural networks is presented.
该系统由图像捕获单元，3个并行工作的神经网络识别单元、运动特征计算单元、融合逻辑和相应的软件构成。
This system is made up of image capture unit, 3 parallel neural network recognition units, mobile characteristics calculation unit, syncretism logic, and corresponding software.
基于数据融合的思想，提出一种非线性系统的自适应神经网络模糊控制器的设计方法。
Based on data fusion method, an adaptive neuro-fuzzy controller of nonlinear systems is presented.
利用BP神经网络预测模型融合正交实验法对化学镀工艺进行优化。
The technology optimization of electroless plating can be predicted by BP neural network and orthogonal experiment.
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.
利用水质遥感监测信息和地面监测信息的互补性，提出一种基于神经网络一证据理论的数据融合处理方法。
Using complementarity of remote sensing information and ground monitoring information on water quality, a data fusion method based on neural network and evidence theory is proposed.
利用水质遥感监测信息和地面监测信息的互补性，提出一种基于神经网络一证据理论的数据融合处理方法。
Using complementarity of remote sensing information and ground monitoring information on water quality, a data fusion method based on neural network and evidence theory is proposed.
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