利用网络流算法对广义运输问题进行求解。
In this paper, generalized transportation problem was solved by using networks method.
本文主要介绍网络流算法在电力系统中的应用。
This paper mainly introduces the application of network flow algorithm in power system.
根据模型自身的特点，设计出相应的网络流算法，同时剖析了该算法的若干特性，并举例演示计算。
According to characteristics of the model, we give an effective network flow algorithm, and dissect several quality about algorithm, and take a computation as example.
目前，研究适合于信道出错、通道容量可变的无线网络理想流调度系统及其数据包调度算法是无线领域研究的一个热点问题。
At present, the work related to ideal flow scheduling system and packet scheduling algorithm for error-prone wireless channel is a hot topic in the research field of wireless communication.
蟹图形、算法、图论这网络流是怎么做的？
Crab Graphs, Algorithms, Graph Theory, How is this network flow?
由于采用了渐进式编码方式及流技术，使应用这种算法后生成的模型文件可以高效、方便地以渐进方式在网络上传输。
Due to the progressive coding and streaming technology, files encoded by this algorithm can be easily transferred through the network.
网络最大流与最小割集的矩阵算法，不仅能解决许多这类问题，而且能使最小费用流、分配问题和运输问题容易通过计算机来实现。
Matrix arithmetic of network maximal flux and minimal separate set not only solves these problems, but also solves some other problems by the computer such as minimal fee, distribution and transport.
本文根据计算机网络中窗口流控的分析，得出了几个实用的算法，这些算法的复杂性较低，精度较高。
According to the analysis of window flow control in computer networks, some applicable algorithms with lower computing complexity and higher computation accuracy are proposed.
因此构造自学习算法模型，综合考虑在各种网络业务环境下如何实现CPU流控是算法的关键。
And the essential is how to construct this automatism learning model and build out the CPUFC arithmetic to adapt to various network services.
近来，很多新的算法被应用在表情识别当中来，如：人工神经网络、支持向量机、小波分析、隐马尔可夫链模型和光流等。
Recently, many novel methods are applied in the facial expression recognition such as Artificial Neural Networks, Support Vector Machines, Wavelet Analysis, Hide Markov Model and Optical Flow, etc.
研究了在发电侧电力市场中梯级水电站的优化运行问题，提出了改进的网络流优化算法。
The optimal operation of cascaded hydropower plants is researched in generation market, and an improved network flow algorithm is proposed.
在对模型求解算法进行分析的基础上，利用一个算例，对基于出行链的网络配流模型的运用进行分析，并将得到的结论和基于出行的配流模型的结论进行比较。
This paper also gives a case to expound the solution method of based trip-chaining network equilibrium model, and this conclusion was compared to the traditional trip-based model.
对分配网络流做了介绍，通过将网络单纯形算法加以推广，得到了一类特殊分配网络流的最小费用流的一种算法。
We described the distribution network flow and get an algorithm of minimum cost flow about a special distribution network flow problem by extending the network simplex method.
在此基础上以运输成本最小化为二级目标建立模型，将其转化成带有分层的网络流模型，用最小费用最大流算法进行求解。
On this basis, in order to minimize the two objectives of the transport costs to model, to convert it into a network flow model with a stratified, with the minimum cost maximum flow algorithm.
本文提出了计算大型有向网络可靠度的一种新方法，它是以网络流理论为基础的分解算法。
A new approach to calculate the reliability of Large Scale Directed network (LSDN) is proposed. It is a resolvent algorithm based on the flow network theory.
当前网络环境下提出的流测量算法缺少必要的合作，存在测量覆盖度不高等问题。
The flow measurement algorithms under current network environment are lack of cooperation, thus the coverage of monitored flow is low.
依据网络流理论，选取最短路径算法模型，实现医疗后送最佳路径选择这一辅助决策功能。
According to the theory of flow of network, using shortest path arithmetic model, aided decision system function of best path choice was realized.
算法将上述非线性问题转化为多个最大流问题求解，并为求解非线性可分凸费用网络流问题提出了通用的求解框架。
This algorithm translates the process of solving NNFPCSC into solving of many maximum flow problems, and provides a general frame for solving NNFPCSC.
在综合考虑了油层渗透率、地层压力、井底流压等对油井产液量产生影响的因素的基础上，建立了基于上述网络算法的抽油井流入动态预测模型。
Considering oil penetrable rate, stratum pressure, liquid pressure, etc, which affect oil well yield, a network model of oil well drifting forecast was established.
随机早检测算法通过计算TCP流的平均队列长度，进行适当的概率丢弃分组，从而有效地避免了由TCP流导致的网络拥塞。
Through calculating the average queue size, Random Early Detection (RED) algorithm can drop packets with relevant probability, so congestion resulted from TCP flows can be avoided.
在基于以太网的宽带社区网络环境中研究了网络故障管理的事件流模型与算法。
A network fault management system research is discussed in the environment of Broadband Community network (EBCN) based on Ethernet.
反应器网络综合问题一般都是复杂的非线性规划问题，在分析基于全混流反应器的反应器网络模型特点的基础上，提出了求解该模型的双层优化算法。
To avoid the above disadvantage, a two-level optimization algorithm was proposed according to the characters of the reactor network model based on continuous stirred-tank reactors(CSTR).
在基于以太网的宽带社区网络环境中研究了网络故障管理的事件流模型与算法。
The fault management system based on event flow model and algorithms, which the fault detection takes integration of two type events, including performance polling and trap receiving.
本文给出了一种利用神经网络计算光流场的新算法。
A new algorithm for optical flow computation is presented using neural networks.
提出了一种k-均值聚类算法和SOM自组织神经网络算法相结合的异常检测模型，使得系统可以更好的分类正常数据流和异常数据流，以此来防范未知的攻击。
Secondly, the anomaly detection model based on K-means algorithm and SOM network is constructed. It can classify the normal and abnormal network data stream so better to detect the unknown attack.
实验表明，该算法能够在不稳定的网络环境中大幅降低媒体流的误码率，并提供更好的媒体质量。
Experiment and simulation results show that the algorithm can keep very low error rate and provide much better media quality in unstable wireless environment.
仿真结果表明速率自适应的拥塞控制机制，改善了网络流性能，较当前的一些算法有了明显的改善。
The simulation results show that the congestion control pacing mechanism improves the performance of multihop flows, which is better than the current algorithm.
实验中我们首先测试凝聚算法对网络数据流的聚类能力；
Firstly we tested the clustering ability to the network data packet of Cluster Arithmetic.
根据网络测试设备的数据流跳变规则，提出了一种基于VHDL描述的高速数据流跳变通用算法。
According to the regulation of high speed data flow jumping in network testing devices, a universal high speed data flow jumping algorithm is presented based on VHDL.
根据网络测试设备的数据流跳变规则，提出了一种基于VHDL描述的高速数据流跳变通用算法。
According to the regulation of high speed data flow jumping in network testing devices, a universal high speed data flow jumping algorithm is presented based on VHDL.
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