定子电阻辨识环节的设计采用了人工神经网络技术。
The stator resistance identification unit is designed by using a neural network.
人工神经网络技术在涡流检测中的应用越来越广泛。
Neural network technology is used more and more widely in eddy current testing.
描述了一种用神经网络技术实现的高精度光栅测量装置。
A grating measuring instrument with high resolution developed by neural networks technique is described.
方法应用神经网络技术检测叶轮式人工心脏的输出流量。
Methods the neural network technique was applied to estimate the output of an impeller artificial heart.
对采用人工神经网络技术预测隧道地表沉降模型中进行了研究。
This paper researches a method to predict tunneling-induced ground subsidence with artificial neural network.
用神经网络技术对固体燃料冲压动机的燃速辨识问题进行了研究。
The neural network is adopted to study the burning rate identification of the solid fuel ramjet.
介绍了一种基于共振解调与神经网络技术的滚动轴承故障诊断方法。
This paper introduced rolling bearing fault diagnosis based on demodulated resonance technique and neural network.
人工神经网络技术在冶金过程终点预报应用方面具有广阔的应用前景。
There is the better application prospect for the application of artificial neural network in end-point prediction for the whole ferrous metallurgy process.
在故障诊断领域，模糊神经网络技术的应用代表着一个新的研究方向。
Fuzzy neural networks technology application is a new approach in the arena of the analog fault diagnosis.
基于电参数的变化，将BP神经网络技术应用于苹果新鲜等级的识别。
Based on changes of electrical properties, BP neural network technique was used to distinguish freshness of apples.
本文提出一种采用神经网络技术实现船舶间碰撞态势模糊分类的方法。
The method of fuzzy classifying of collision states between ships based on neural network is proposed in this paper.
神经网络技术在地质、重力、磁法、电法及地震勘探中有着广泛的应用。
And neural network has a variety of applications in exploration of geology, gravity, magnetism, electricity, and seismic.
利用人工神经网络技术，提出预报离散随机的电离层骚扰事件的新方案。
A new method for predicting disturbances in the ionosphere by using the Artificial Neural Network (ANN) has been presented.
振动模态分析技术和神经网络技术是解决结构损伤诊断问题的有效工具。
Vibration modal analysis technology and neural network technology is a effective instrument to solve damage diagnose.
应用人工神经网络技术，实现了基于质量微小变化的油罐泄漏检测方法。
Tank leakage detection method founded on small mass change is achieved taking advantage of ANN technology.
本论文采用人工神经网络技术对中国股票市场的预期收益率进行实证分析。
This thesis uses the Artificial Neural Net technique to empirically analyze the expected rate of return of China stock markets.
人工神经网络技术在统计模式识别领域中的推广能力上成为了一个替代技术。
Artificial neural networks constitute an alternative technique to be used for generalization within the area of statistical pattern recognition.
运用神经网络技术实现材料性能参数的实时识别是智能化拉深的重要研究课题。
The real-time identification via neural network is an important subject in intellectual deep drawing of sheet metal.
为此，作者研究一种基于人工神经网络技术的超薄快速铸轧过程板形控制方案。
In this paper, flat control system based on neural network for thin gauge high speed roll casting process is introduced.
人工神经网络技术作为机敏材料与结构的关键技术之一，在国外已受到人们的关注。
Artificial neural network which has drawn much attraction abroad is one of the key techniques in smart materials and structures.
将神经网络技术应用于涡流检测信号的自动识别与分类是目前无损检测界关注的问题。
Close attention is paid on the application of neural network technology to automatic recognition and grading of eddy current signals in the field of NDT nowadays.
另外，在对聚驱综合调整方案进行效果预测与评价时，我们采用了人工神经网络技术。
In addition, when forecast and evaluate the polymer-flooding comprehensive adjustment scheme, we have adopted artificial neural network technology.
本研究展示了在食品质量控制过程中，应用计算机视觉系统和神经网络技术的潜在优势。
This research demonstrates the potential and procedure of applying computer vision and neural network pattern recognition techniques to food quality control.
实验结果表明，在电控柴油机故障诊断系统中运用神经网络技术进行实时诊断是完全可行的。
Experiment result indicates it is entirely feasible to exercise NN technology processing real - time diagnose in electronic - control diesel trouble diagnose system.
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.
针对电机振动信号的频谱特点，提出基于小波神经网络技术的电机故障模式识别与诊断的新方法。
A novel method of pattern recognition and fault diagnosis in electrical machine based on the wavelet-neural network is proposed according to the frequency spectrum characteristics of vibration signal.
本文主要对模糊系统和神经网络技术在模型预测、故障模式分类和智能监测中的应用进行了研究。
In this paper the technologies of model forecasting and the fault model identification and the intelligence monitoring using fuzzy system and neural network are studied.
可以看到在较好的选取学习样本情况下，神经网络技术在电子透镜的逆设计中有着明显的优越性。
In the condition of selecting the learning samples properly, the artificial neural network has the obvious advantage in the inverse designing the electronic lens.
提出将人工智能中的人工神经网络技术和专家系统技术相结合，并将其引入弯曲件缺陷分析中去。
The article showed the integration of artificial neural network and expert system in artificial intelligence, which was introduced in the analysis of bending parts' defects.
提出将人工智能中的人工神经网络技术和专家系统技术相结合，并将其引入弯曲件缺陷分析中去。
The article showed the integration of artificial neural network and expert system in artificial intelligence, which was introduced in the analysis of bending parts' defects.
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