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   网络信用 在 宏观经济管理与可持续发展 分类中 的翻译结果: 查询用时:0.065秒
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网络信用
相关语句
  network credit
    Research of Domestic Network Credit System's Building
    我国网络信用体系建设研究
短句来源
    With the rapid development of network and cyber economy, the network credit crisis is coming quietly. False trade, imitate behavior, contract swindle, online auction bid up target, infringe consumer legitimate rights and interests all sorts of illegal activities take place again and again, which have restricted the rapid and sound development of domestic network to a great extent.
    随着网络和网络经济的迅猛发展,网络信用危机也悄然袭来,虚假交易、假冒行为、合同诈骗、网上拍卖哄抬标的、侵犯消费者合法权益等种种违法行为屡屡发生,这些现象很大程度上制约了我国网络的快速、健康发展。
短句来源
    Based on the characteristics of network and the courses of network crisis appearing, this thesis introduces the traditional credit management theory into the network credit system's building. Then, the design of network credit system and the correlative credit evaluating mechanism are discussed.
    本论文从网络的特点和网络信用危机出现的原因分析入手,将传统社会的信用管理理论引入到网络社会信用体系的建设中,对我国网络信用体系的建设及其相关评估机制作了初步探讨。
短句来源
    After describing briefly credit, network credit, cyber economy and network society, this paper gives definitions of their relations.
    第一部分为概述。 论文对信用、网络信用、网络经济和网络社会的基本概念作了简要的阐述,在此基础上,界定了它们之间的关系。
短句来源
    The paper summarizes the macro-environment and current status of domestic network, and analyzes the credit crisis and its danger, and emphasizes the necessity and urgency of building the network credit system.
    论文概述了我国网络发展的总体环境和发展状况,分析了我国网络发展中出现的信用危机及其危害,强调了建立网络信用体系的必要性和紧迫性。
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The research establishes neural network credit scoring model by using miltilayer perceptron (MLP) principle. It is used to evaluate the credit of 106 listed companies of our country in 2000 and futher forecast 13 pre\|losted companies in 2001. The 106 listed companies are divided into two groups: a ″good″ group and a ″bad″ group according to their management situation. To each listed company, we consider four primary financial indexes: income per share, net asset per share, return rate of net asset, and cash...

The research establishes neural network credit scoring model by using miltilayer perceptron (MLP) principle. It is used to evaluate the credit of 106 listed companies of our country in 2000 and futher forecast 13 pre\|losted companies in 2001. The 106 listed companies are divided into two groups: a ″good″ group and a ″bad″ group according to their management situation. To each listed company, we consider four primary financial indexes: income per share, net asset per share, return rate of net asset, and cash flow per share. The simulation results show that the MLP credit scoring model has very high classification correct rate (98 11%) . And it has very strong adaptive ability, so it can be further used to predict financial distress of the companies. The forecasting research shows that the forecasting accuracy rate of the model is 100%. In addition, the paper is given the learning algorithm and step of the model in detail.

本文利用多层感知器 ( MLP)原理建立神经网络信用评价模型 ,用来对我国 2 0 0 0年 1 0 6家上市公司进行信用评级 ,并进一步对我国 2 0 0 1年公布的 1 3家预亏公司进行预警研究 .按照各上市公司的经营状况分为“好”、“差”两类 ,每一类由 5 3家上市公司构成数据样本 .对于每一家上市公司 ,主要考虑其经营状况的四个财务指标 :每股收益 ,每股净资产 ,净资产收益率和每股现金流量 .仿真结果表明 ,本文所建立的神经网络信用评价模型有很高的分类准确率 ,达到 98.1 1 % .又由于该信用评价模型有很强的适应能力 ,故可以进一步用来对企业的财务危机进行预警研究 .预警实证分析表明 ,该信用评价模型对我国 2 0 0 1年公布的 1 3家预亏公司进行预警分析 ,预警准确率达到 1 0 0 % .此外 ,文中还给出 MLP网络模型的学习算法和步骤

For a long time credit risk assessment has been regarded as one kind of classification issue of pattern identification, which could not fully meet the requirements of credit risk decisionmaking. In view of the connotation of credit risk, it is put forward that the probability that credit capital becomes bad debt and the relativity of credit risk should be taken into consideration to assess credit risk. By taking credit risk degree as system output, credit risk assessing and forecasting model based on artificial...

For a long time credit risk assessment has been regarded as one kind of classification issue of pattern identification, which could not fully meet the requirements of credit risk decisionmaking. In view of the connotation of credit risk, it is put forward that the probability that credit capital becomes bad debt and the relativity of credit risk should be taken into consideration to assess credit risk. By taking credit risk degree as system output, credit risk assessing and forecasting model based on artificial neural network is established so as to transform assessing mode in effect and provide credit decisionmaking with more efficient tools and support.

依据商业银行信用风险的内涵,指出信用风险评估应当充分考虑信贷资金安全系数的不确定性和信用风险的相对性特征,并以"信用风险度"作为系统的输出,构建了基于人工神经网络的信用风险评估预测模型,为有效转变信用风险的分类评估模式,提供更为全面的信贷决策支持奠定了基础.

With the development of Internet EC, it has brought the great informations and profiles for both sides who deal with selling and buying, also has constrainted the EC development due to the frailty of Internet credit and lack of Internet Credit。 So we must establish new and modern credit and credit management system , which aims at solving nation credit problems existed in EC trading and establishing trust Internet credit environment。

随着互联网环境下的电子商务的发展,一方面给进行商务活动的买卖双方带来了所需的信息和利润,而另一方面发现网络信用的脆弱和信用贫乏,使企业的电子商务活动受到影响和制约。必须建立新型信用及信用管理体系,以解决我国电子商务网络交易中的信用问题,打造网络化的值得信赖的信用环境。

 
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