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bayesian network
相关语句
  贝叶斯网络
    It takes listed companies of 2001 in China as research sample, defines 11 financial ratios that can reflect financial crisis of listed companies by analyzing the sample companies' financial data from 2001 to 2003, sets up a Bayesian network to find the financial early-warn of listed companies by the method of Bayesian network analysis and constructs a warn-forecasting model of financial position based on the sample companies' financial data from 2001~2003.
    以2001年我国上市公司为研究样本,通过对2001~2003年样本公司的财务数据分析,确定了能反映上市公司财务危机的11项财务比率.运用贝叶斯网络分析方法,建立了能发现上市公司财务危机的贝叶斯网络.结合2001 ~2003年样本公司的财务数据,构建了上市公司财务预警模型.
    The Application of Bayesian Network in Causal Map
    贝叶斯网络在因果图中的应用
短句来源
    Research on Human Resource Management Evaluation Model Based on Bayesian Network
    基于贝叶斯网络的人力资源管理评价模型的研究
短句来源
    Research on the Abnormal Changing Trend of the Financial Status of Listed Companies Based on Bayesian Network
    基于贝叶斯网络的上市公司财务状况异常变动趋势研究
短句来源
    A Warn-forecasting Model of Financial Position Based on Bayesian Network
    基于贝叶斯网络的上市公司财务预警模型
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  bayesian网络
    Modeling E-commerce website quality management based on Bayesian network
    基于Bayesian网络的电子商务网站质量管理模型
短句来源
  “bayesian network”译为未确定词的双语例句
    Dynamic Linear Regression Modeling and Real-time Prediction Based on Bayesian Network and Neural Network
    基于贝叶斯-神经网络的动态回归建模与预测
短句来源
    Bayesian Network is natural compact graphical representation of joint probability distribution, which can express a potential dependent relationship among uncertain variables and can exploit the structure of the domain.
    贝叶斯网是自然、紧凑的联合概率分布的图形表示形式,反映了变量间的潜在的依赖关系,揭示了领域对象的内在结构。
短句来源
    Utilizing listed companies data in 2003 to validate the model that the study has set up, the rate of accuracy is up to 92%. The results indicate that Bayesian Network early warning model for financial failures has the higher rate of accuracy.
    建立模型之后,本文通过2003年深市和沪市上市公司数据样本对所建立的财务预警模型进行测试,准确率达到了92%,结果证明获得了该财务预警模型具有良好的预测效果。
短句来源
    I analyzed the main influencing factors to operational risk of commercial bank in China based on the data and designed the Bayesian network model.
    接着,在已有的数据的基础上,分析我国商业银行操作风险损失的主要影响因素,并构建模型。
短句来源
    Applying the Bayesian network,the model was developed,and the overall quality was presented as the central node with the sub-characters as the root nodes.
    该模型基于用户感知的质量,以总质量作为中心结点,可以直接测量的质量子属性为网络根结点。
短句来源
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  bayesian network
This paper addresses issues in constructing a Bayesian network domain model for diagnostic purposes from expert knowledge.
      
Tailored-to-Fit Bayesian Network Modeling of Expert Diagnostic Knowledge
      
The object class is generatively modeled using a simple Bayesian network with a central hidden node containing location and scale information, and nodes describing object parts.
      
Our algorithm is implemented in a commercial Bayesian Network software package, AgenaRisk, which allows model construction and testing to be carried out easily.
      
In particular, to determine Jeffrey's prior for this model family, we show how to compute the (expected) Fisher information matrix for a fixed but arbitrary Bayesian network structure.
      
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The main goal of this paper is to describe a ‘Baye sian Causal maps’ to represent and analyze domain knowledge of experts. Both a c ausal map and a bayesian network. A Bayesian causal map integrates their advanta ges in expressing knowledge of experts, and uses the evidence propagation algori thms to make inference for decision variables. By describing a marketing expert decision process on product development, the paper illustrates how the causal ma ps can be modified to construct Bayesian...

The main goal of this paper is to describe a ‘Baye sian Causal maps’ to represent and analyze domain knowledge of experts. Both a c ausal map and a bayesian network. A Bayesian causal map integrates their advanta ges in expressing knowledge of experts, and uses the evidence propagation algori thms to make inference for decision variables. By describing a marketing expert decision process on product development, the paper illustrates how the causal ma ps can be modified to construct Bayesian causal maps and how to make reference.

本文的目的在于描述一种用于表征和分析专家知识“贝叶斯因果图”。它既是因果图 ,也是贝叶斯网络 ,综合了两者在表达专家知识方面的优点 ,并采用事实传递算法对决策变量进行推断。本文以一个市场专家进行产品发展决策为例 ,阐述了如何从因果图构造贝叶斯因果图以及如何用它来进行推断。

A new method was represented to model dynamic linear regression system driven by data, in which a bayesian network was combined with the RBF neural network. Based on this model, the knowledge distribution of nature connection tied in bayesian method was used to formalize all kinds of information and implement the durative process of learning. An improved RBF neural network with the exponential-longevity linked weights was used to optimize importing data and enhance calculating velocity....

A new method was represented to model dynamic linear regression system driven by data, in which a bayesian network was combined with the RBF neural network. Based on this model, the knowledge distribution of nature connection tied in bayesian method was used to formalize all kinds of information and implement the durative process of learning. An improved RBF neural network with the exponential-longevity linked weights was used to optimize importing data and enhance calculating velocity. An improved genetic algorithm was applied to realize the dynamic adaptation of the neural network. Based on all the algorithms, a dynamic linear regression modeling and real-time predictive control system was implemented. A simulation experiment demonstrates efficiency of the method.

结合贝叶斯网络和神经网络,提出了一种建立数据驱动型的动态线性回归系统模型的方法。基于这种模型采用自然连接型的知识分布,形式化各种各样的信息,结合贝叶斯方法,执行贝叶斯网络的持续学习过程;采用指数寿命型的连接权值改进径向基神经网络,优化输入数据,提高计算速度;采用改进的遗传算法,实现神经网络的动态自适应。基于上述方法,实现了线性回归系统动态建模与实时预测。仿真试验说明该方法是有效性。

According to the uncertain characteristics of information in virtual enterprise,the Bayesian network is used to identify its risk probability.Discussing the way to construct and analyze the Bayesian network,the dependency relationship of various information variables of such an enterprise is described with Bayesian network,so as to identify the different risk probabilities.Simulation results suggested that Bayesian network could effectively describe the dependency relationship of the...

According to the uncertain characteristics of information in virtual enterprise,the Bayesian network is used to identify its risk probability.Discussing the way to construct and analyze the Bayesian network,the dependency relationship of various information variables of such an enterprise is described with Bayesian network,so as to identify the different risk probabilities.Simulation results suggested that Bayesian network could effectively describe the dependency relationship of the uncertain information variables of a virtual enterprise,i.e.,an effective method to identify risk probability.

根据动态联盟企业信息具有不确定性的特点,应用贝叶斯网络对企业的风险概率进行识别.通过对贝叶斯网络的构建与分析方法的探讨,用贝叶斯网络描述企业信息变量间的依赖关系,从而识别不同风险发生的概率.仿真结果表明,贝叶斯网络可以有效地描述动态联盟企业不确定信息变量之间的依赖关系,是进行风险概率识别的一种有效方法.

 
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