主要叙述了人工神经网络理论在磨料水射流切割技术中的应用。
This paper elaborates on the Artificial Neural Network application to the abrasive water jet cutting technology.
本文基于人工神经网络理论，开展了常规测井资料识别评价裂缝的研究。
Based on artificial neural network theory, using routine logging data in fracture identification is studied.
本论文对人工神经网络理论及其在空间机器人系统控制中的应用作了研究。
The theory of artificial Neural Network and its application in space robot control are studied in this thesis.
人工神经网络的映射能力是人工神经网络理论研究中最重要的问题之一。
The mapping relation can be used to predict the critical frequency and the HF communication channel.
应用人工神经网络理论，建立了城市大气环境质量的B - P网络评价模型。
The assessment model of atmospheric environment quality of city using B-P artificial neural network is proposed.
人工神经网络理论的出现为人们研究巷道围岩稳定性分类提供了一种新的理论方法。
The artificial neural network provides us a new theoretical method on the stability classification of roadway surrounding rock.
对如何借助人工神经网络理论在线实施利用改构提高电力系统暂态稳定水平进行了研究。
An artificial neural nets based on-line implementation to enhance power system transient stability by reconstruction is studied.
建立汽车发动机这样非线性系统的数学模型非常困难，人工神经网络理论为非线性系统的辨识提供了新的方法。
Mathematical model establishment in nonlinear system such as automobile engine is still very hard. Artificial neural network theory brings to us a new method in nonlinear system identification.
本论文的核心内容是：应用谐波小波和人工神经网络理论对转子轴承系统动力参数——临界转速进行识别与修正。
The central content of this thesis includes identifying and revising the critical rotate speed-dynamic parameters of rotor-bearing system by the artificial neural network theory and harmonic wavelet.
针对拉萨市道路交通噪声污染问题，运用人工神经网络理论和方法对拉萨市道路交通噪声的等效连续声级进行预测。
Aiming at the traffic noise problem of Lhasa, the author USES artificial neural network theory and method to predict the equivalent consecutive sound level of traffic noise in Lhasa.
本文基于人工神经网络理论及方法，在合理选取影响爆炸威力主要因素的基础上，构建了燃料空气混合物爆炸威力评估模型。
There are many factors affecting explosion power of fuel air mixture, large numbers of them are qualitative and uncertain factors, and the relations between them are very complicated.
利用人工神经网络理论，通过对设备振动信号采集、处理和提取特征参数的方法，对装载机机械系统工作状态进行智能监测与故障诊断。
This paper involves ANN based intelligent condition monitoring and diagnosing of loaders, focusing on signal collecting and processing as well as characteristic parameter picking up.
将人工神经网络理论和算法应用于双辉离子渗碳的研究，在对人工神经网络训练的基础上，建立了双辉离子渗碳工艺与渗层性能预报的数学模型。
On the basis of the training of network, the mathematics model on the relationship between double glow plasma carbonizing and prediction of properties is built.
应用人工神经网络理论，合理选择激光冲击参数，对球墨铸铁QT450-10进行了激光冲击试验，并用扫描电镜和数显硬度仪等进行了分析。
Selecting laser shocking parameters with the application of artificial neural networks theory, the high power density, neodymium -glass laser is used to laser shock process ductile iron QT450 - 10.
针对大气环境中的数据监测与模式识别问题，应用人工神经网络理论，在自然环境大气腐蚀试验网站建立大气环境质量B - P网络评价模型。
Aim at data inspection and mode identification of atmospheric environment, B-P network evaluation mode was established by the application of artificial neural network theory.
以故障诊断的理论和方法为基础，综合运用人工智能、模糊理论和神经网络理论，对复杂电子装备的故障诊断问题进行了研究。
The paper studies complex electric equipment fault diagnosis based on the theory and method of fault diagnosis by applying the theory of artificial intelligent, fuzzy theory and neural network.
以故障诊断的理论和方法为基础，综合运用人工智能、模糊理论和神经网络理论，对复杂电子装备的故障诊断问题进行了研究。
The paper studies complex electric equipment fault diagnosis based on the theory and method of fault diagnosis by applying the theory of artificial intelligent, fuzzy theory and neural network.
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