A method of single and double faults diagnosis in RLC linear network is pro posed.
提出了一种对RL C线性无源网络单、双重故障的诊断方法。
Based on intelligent sensors and field bus, the three-level linear network was adopted by FCS.
由智能传感器和现场总线构成的现场总线控制系统，采用三层线性网络结构。
In this paper, we has studied in wireless network coding, especially in random linear network coding.
本文研究了无线网络编码的编码方式，尤其是随机线形网路编码。
For a general linear network with a controlled source, another superposition theorem is now discussed again.
对于含有受控源的一般线性网络，本文提出并证明了第二种方式的迭加定理。
The mainly works include: research on the application of linear network coding in cooperative communication system.
本文的主要工作：研究了线性网络编码在协作通信系统中的应用。
A theory of respective shift of source is put forth and a method for solving linear network by computer is developed.
这里论述了电源分移原理，并且导出一个求解线性网络的方法，此方法在电子计算机上进行。
Counting directed trees plays an essential role in computational efficiency of topological analysis in the linear network.
有向树计数的大小，是影响线性网络拓扑分析运算效率的一个重要因素。
The modified neural network's learning speed is much increased because of the linear network and the recursive least square.
由于线性网络的引入及递推最小二乘法的使用，大大提高了网络的学习速度。
The thesis focuses on two facets of maximum decodable linear network coding: the computing complexity and the constructing method.
本文主要研究了最大可解线性网络编码的计算复杂性与构造方法。
The main works in this paper are shown as follows: 1. Network coding technology is introduced especially random linear network coding.
本文主要完成的工作有：1、介绍了网络编码技术，着重介绍了随机线性网络编码。
The parameters of linear network are identified by recursive least square and weights and thresholds of MFNN are learned by BP algorithm.
线性网络部分的参数采用递推最小二乘法辨识，多层前向网络的权值和阈值采用BP算法学习。
Then states a detailed explanation about linear network coding, introduces two construction ways and encoding symbol bounds respectively.
然后对线性网络编码理论进行了详细的阐述，介绍了线性网络编码的两种构造方式及各自的符号界。
On this foundation, a simple method of calculation about the equivalent parameter of the linear network without sources is brought forward.
在此基础上，提出了无源线性网络任二节点间的等效参数的一种简便算法。
A modified neural network structure which is composed of a linear network and a multilayered feedforward neural network (MFNN) is presented.
本文提出一种改进的神经网络结构，它由线性网络和多层前向网络两部分组成。
The technology has turned itself into a necessary process in terms of producing precision complex signal, linear network and passive network.
在生产精确的混合信号、线性和被动网络方面，该项技术己成为必要工序。
Dynamic segmentation as one of the most important GIS technical means, show great advantage in linear network-based analysis, query and display.
动态分段作为地理信息系统空间分析一种重要的技术手段，在基于线性网络的分析、查询和显示中表现出巨大优势。
Aiming at random linear network coding, this paper proposes an error control method which combines point-point checking error and end-end retransmission.
针对随机线性网络编码，提出点-点检错和端-端重传相结合的差错控制方法。
It is convenient to use this method for analysing the state of a branch in case the parameters of the branch of the complex linear network undergo a change.
当复杂线性网络某一支路的参数变化时，应用这种方法分析该支路的状态是比较简便的。
According to Tellegen's theorem, the two states of the RLC linear network have been studied, and the orthogonal Kirchhoff modes theory is discussed in this paper.
本文概述了特勒根定理的基本内容，并以此为基础讨论了RL C线性网络的两种工作状态和正交基尔霍夫模式理论。
In this paper we discussed the fault diagnosis of linear network. Using only one unit-test-current and measuring various node voltages, we can diagnose the faulty elements.
本文着重于线性网络的故障诊断，只用一个单位测试电流，通过量测各节点电压，来确诊元件故障。
A delicate research about the relationship of the selection of model of the linear network part and the multi-layered feed-forward network part and simulation are presented.
对线性网络的模型选择和多层前馈网络的关系做了细致的研究，并分别进行了仿真。
According to the character of non linear network traffic, the traffic time series is decomposed into trend component, period component, mutation component and random component.
文章考虑网络流量非线性的特点，通过不同的数学模型将流量时间序列分解成趋势成分、周期成分、突变成分和随机成分。
Finally, it achieves the throughput of each network, we can find out the directed acyclic network which has the maximum throughput and construct the linear network coding for it.
最后求得各有向无环网络的组播容量，找出具有最大组播容量的无环组播网络进行线性网络编码构造。
In this paper, according to the characteristics of non linear network traffic, traffic behaviors are decomposed into trend items, period items, and random items by an accumulation decomposition model.
本文采用一种累加模型将复杂大规模网络流量分解成趋势项、周期项和随机项。
For instance, a certain kind of basic neural network, the perceptron, is biased to learning only linear functions (functions with inputs that can be separated into classifications by drawing a line).
例如，某些基本的神经网络，它们的感知器只倾向于学习线形函数(通过划一条线可以把函数输入解析到分类系统中)。
The reason that caused measurement error is analyzed deeply. The paper makes use of the neural network to compensate linear structured light measurement system, so improve the measurement precision.
深入分析了引起系统测量误差的原因，并利用神经网络对线结构光测量系统进行误差补偿，提高了系统的测量精度。
Furthermore, this paper has obtained the generalized power relationship between the linear reciprocal microwave network and its equivalent network.
此外，本文还得出了线性互易微波网络与其等效网络之间的广义功率关系。
The running time of the algorithm is linear. Simulation results show that the time steps of the algorithm are very close to the network diameter in practice.
该算法的时间复杂性是线性的，模拟结果表明多播路由算法的多播时间步接近网络的直径。
A recursive least squares algorithm for linking weight between linear layers of RBF network is introduced, and a dynamic recursive algorithm of center vector is proposed.
介绍了RBF网络线性层权值的训练算法——递推最小二乘法，及中心向量的动态递推算法。
Adaptive linear neural network is used for detecting the distortion currents of nonlinear loads.
本文将自适应线性神经网络理论应用于非线性负载电流中畸变电流的检测。
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