云消费者需要识别的资产就是他们能够控制的资产：操作系统、网络设备以及在虚拟机级部署的应用程序。
The assets the cloud consumer needs to identify are those he can control: the operating systems, network equipment, and deployed applications at the virtual machine level.
您能够识别并且诊断出性能的瓶颈，无论这种问题是发生在网络、数据库、应用服务器、甚至是用户应用程序之中。
You can identify and diagnose performance bottlenecks, whether such problems occur in the network, database, the application server, or even the user application.
另外一个有趣的应用程序被创建用于识别僵尸网络的垃圾邮件。
Another interesting application was created to identify botnets for email spam.
这样神经网络可应用于模式识别的特征提取、聚类分析、边缘检测、信号增强以及噪声抑制、数据压缩等各个环节。
This neural network pattern recognition can be applied to feature extraction, clustering analysis, edge detection, signal enhancement and noise suppression, data compression, such as various links.
人工神经网络在模式识别中的应用。
Application of artificial neural networks to pattern recognition.
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.
随着计算机和网络技术在人才测评中的应用，人才测评软件成为企业进行人才识别的首选。
With the application of computer and net technology to talent evaluation, talent evaluation software becomes the first choice to select people for enterprises.
在诊断模型中，应用APEX网络提取分类信息，压缩向量空间维数，利用前馈网络建立其类型识别函数。
In the model, using APEX network extracts classification information and condenses vector space dimensions, making use of feedforward network establishes the classification recognition function.
基于人工神经网络技术的结构损伤识别方法是大型土木工程结构损伤识别的有效方法，可在工程结构损伤识别中广泛应用。
The method of identification of structural damage based on ANN is an effective measurement to identify the structural damage, which can be widely used in practical engineering.
本文主要研究了矩函数和神经网络分别在图像识别的特征提取和模式分类方面的应用。
In this paper we look into the application of moment function and neural network in feature extraction and pattern classification of image recognition respectively.
本文研究神经网络的多层感知器模型在语音识别中的应用。
This paper describes the use of multi-layer perception model of neural network in speech recognition.
提出一个层次自组织神经网络模型，并将其应用于基于事件识别的轨迹分布模式学习中。
This paper presents a hierarchical self organizing neural network model and its application in the learning of the trajectory distribution patterns for event recognition.
应用BP神经网络对数字进行识别，其图像的预处理采用去除杂点方法去除噪声，使用逐像素特征提取方法进行特征向量的提取。
Applied BP neural network to recognize Numbers, and adopted a method of wipe off miscellaneous points to take out noise, and used a method of per pix feature extraction to extract feature vector.
该算法经两个常用函数检验，并在图象识别的神经网络权值训练中得到应用。
The algorithm is tested by two generally used functions and is used in training a neural network for image recognition.
人工神经网络已被广泛应用于气体传感器阵列的模式识别研究中。
ANN has been widely used for the pattern recognition of the gas sensor array.
应用BP神经网络进行了管道缺陷参数的定量识别，识别结果的误差小于10%，完全满足实际检测的要求。
Use BP neural network to quantitatively recognize pipeline defect parameter, the error of recognition result is below 10%, and requirement of practical inspection can be completely fulfilled.
最后，基于模型数据，应用神经网络识别了液体火箭发动机的几种故障模式。
Finally, based on the model data, the neural networks are applied to recognize several fault patterns of the liquid rocket engine.
神经网络被广泛地应用于字符识别。
Neural network has been publicly used for character recognition.
用BP人工神经网络分类器进行识别，结果表明矩特征的识别率较高，说明该方法具有良好的应用效果。
The recognition with BP artificial neural net grader shows that the recognition rate of moment features is rather high, this indicates that this method has better applicable effect.
探讨了应用BP网络识别岩土材料本构关系的可行性。
The feasibility of applying BP network to identify the constitutive relation of geo materials was studied.
神经网络在图像识别方面也取得了广泛应用。
应用VB和MATLAB编写了计算机程序，形成了基于罐车PC A特征和BP神经网络算法的识别系统。
Computer program is written via VB and MATLAB and the recognize system of tanker car is accomplished based on PCA characteristic pick-up and BP nerve network arithmetic.
应用人工神经网络(ANN)模型，输入测井数据自动识别岩性，重要的问题是改进传递函数，提高收敛速度。
An important matter for our using an artificial nervous network (ANN) to automatically identify lithology from inputted logging data is to improve both transfer function and convergence rate.
该神经元可应用于模式识别、降低神经元网络中的神经元数量和提高训练速度。
When it is used for pattern identification, the less the number of neurons is, the quicker the training is.
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.
本文研究的主要目的是：以常规测井资料为基础，应用神经网络技术来识别火成岩储层中的油气水层。
The main purpose of this thesis is to identify oil and gas layers in the igneous reservoirs by using the neural network based on the common well logs.
综述了人工神经网络在材料性能识别、预测及工艺优化方面应用的新进展，指出了存在的问题。
The new development of application of Artificial Neural Networks on materials properties prediction and process parameters optimization is reviewed. The existing problems are indicated.
本文主要研究BP神经网络在脱机手写体数字识别方面的应用。
In this paper we give a kind of handwritten digits recognition method based on BP neural network.
本文主要研究BP神经网络在脱机手写体数字识别方面的应用。
In this paper we give a kind of handwritten digits recognition method based on BP neural network.
应用推荐