Intelligentized distributed system is advanced style of network run in agile manufacturing.

It provides a comprehensive simulation environment for the modeling of the communication network and distributed system.

为通信网络和分布式系统的建模提供了全面的模拟仿真开发环境.

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To develop a distributed system, the COM + standard provides a high efficient development environment.

针对分布式系统的特点, COM+ 组件标准提供了一个可靠的、高效的开发环境.

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Distributed system always easy appears performance problem.

摘要分布式系统设计容易出现性能问题.

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A platform of seismic data processing based on distributed system is designed in this paper.

基于分布式应用控制系统的地震数据处理平台是针对地震数据处理的特点设计的.

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There is considerable confusion in the literature between a computer network and a distributed system.

在文学作品里面把一个计算机网络和分布式系统是弄混的.

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IPC is a key question of distributed system.

分布式系统面临的一个关键问题是解决好进程间通信(IPC)协作.

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Meanwhile, the classification way of Maxent is adjusted for the numerical classification of audio classification and sentence segmentation.

同时，针对音频分类和句子切分的数值分类方式，对Maxent分类器的分类方式进行调整。

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The spatial-temporal variation of species diversity has significant influence on the MaxEnt method to estimate species richness.

结果表明，物种多样性的时空异质性对于估计物种丰富度的最大熵方法有比较明显的影响。

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At last, MaxEnt and GARP models were compared.

最后比较研究了MaxEnt模型和GARP模型。

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MaxEnt was not always effective and was inclined to give an upper limit of species richness estimated in a single area.

最大熵方法并不总是有效的，它倾向于给出一个地区物种丰富度的上限值。

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MaxEnt should be used with caution because of some restrictions, including sampling area at the anchor scale, sample plot number, historical disturbance factors, evenness of species distribution and heterogeneity of sample unit.

同时，在使用最大熵方法的时候必须注意一些影响其估计精度的限制性条件，包括锚定格局上的取样面积、调查的样方数目、历史干扰因素、物种分布的均匀程度及取样的异质性。

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The first innovations of thesis is that through in-depth analysis on advantage of collaborative training algorithm co-training, in minimizing the amount of label data and guaranteeing the classification accuracy, the co-training algorithm based on maximum entropy ( Maxent) is used for audio classification.

本文的一个创新点是，通过深入分析协同训练算法co-training在极小化标注数据量并保证分类精度方面的优势，采用基于最大熵分类的co-training算法进行音频分类。

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Prediction of potential geographic distribution areas of the maize downy mildew in China by using MAXENT

利用MAXENT预测玉米霜霉病在中国的适生区

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Random Iterated Algorithm for HMMS Based on EM and Selected Application in Biology Sequence Promoter Recognition

基于EM的隐马氏过程随机迭代算法及其在生物序列启动子识别中的应用

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Each individual in evolutionary computation represents a set of HMMs, while the fitness value of each individual represents the maximum mutual information.

各模型集用个体表示，个体的适应值采用模型的最大互信息。

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A calculation method of the similar degree of two HMMs is introduced based on entropy concept.

介绍了基于信息熵概念定义的两个隐马氏模型的相似度的一个计算方法。

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And this has led to the local optimality of the models. This paper proposed a hybrid maximum mutual information/ evolutionary computation ( MMI/ EC) architecture to be embedded in the training of HMMs.

文中将最大互信息（MMI）和演化计算（EC）相结合，引入到隐马尔柯夫模型（HMM）的训练中去。

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Hidden Markov models ( HMMs) are used as representations for the cluster centers, and batch map training algorithm is applied in clustering procedure.

隐马尔可夫模型被用于表达各个聚类，批处理自组织特征被用于符号序列的聚类过程。

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This paper presents the results of training HMMs using a minimum error criterion ( ME) instead of conventional maximum likelihood.

本文研究了使用最小差错准则训练隐含马尔科夫模型（HMMS）而不是传统最大似然准则。

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Bank Bill Automation Recognition Based on HMMs Method

基于HMM方法的银行票据自动识别

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