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知识编码
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  knowledge encoding
     the tools of knowledge management are divided into three kinds: knowledge produce tools, knowledge transfer tools, knowledge encoding tools.
     知识管理工具大致可分为知识产生工具、知识编码工具和知识传播工具。
短句来源
  includes knowledge code
     Knowledge management is the key part of the library administration in the digital agc,It includes knowledge code and knowledge service,which can fully make invisible knowledge fo be seen(come true),provide the readers with the best service of knowledge and make the library service more and more perfect.
     知识管理是网络时代图书馆管理的核心内容 ,它通过知识编码和知识服务 ,最大限度地实现隐性知识的显性化 ,为读者提供满意的知识服务 ,不断提高图书馆的服务水平 .
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  “知识编码”译为未确定词的双语例句
     The definition,functions,cost-benefit analyses,and researches at firm level of knowledge codification are expatiated and evaluated in this paper.
     在研读大量文献的基础上,对知识编码的定义及其作用、知识编码的成本—收益分析、以及企业层次上的知识编码研究等进行了述评。
短句来源
     By using the Knowledge Unit Model and Knowledge Code, the diagnosis and maintenance knowledge's organization, management and reusing are implemented, which improves the management and application level of enterprise's knowledge resources. This work not only benefits product's design and reliability but also bridges the system design and development of fault diagnosis system.
     通过知识单元和知识编码实现了诊断维护知识的组织、管理和重用,提升了企业诊断维护知识资源的管理和应用水平,有利于产品的设计优化、可靠性提高和诊断系统的开发,架起了系统设计和诊断系统开发之间的桥梁。
短句来源
     (3)Tacit knowledge based accumulation and sharing model, and knowledgecodification based knowledge creation and sharing model are two kinds of SDC developing models.
     (3)按知识传递和共享机制的不同,软件开发能力发展可分为基于个人缄默知识积累和传递的模式和基于知识编码化的模式。
短句来源
     The key factors controlling the evolution of logistics organizations are the shift of information code systems and the cost change resulted from the shift.
     决定物流组织演变的关键变量乃是知识编码化和它所引起的信息转换成本的变化。
短句来源
     The study of knowledge codification is becoming a new theme in knowledge management discipline.
     知识编码研究是知识管理领域的一个新主题。
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  相似匹配句对
     The Codify of Tacit Knowledge
     内隐知识编码
短句来源
     A Knowledge-Based Coding of Facial Image
     脸部知识基图像编码
短句来源
     Knowledge Industry
     知识工业
短句来源
     Signatures of Knowledge
     知识签名
短句来源
     DIGITAL CODING OF SPEECH SIGNALES
     语音编码
短句来源
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  knowledge encoding
All expert systems share a common fundamental structure even if their knowledge encoding mechanisms differ.
      
From a map people acquire survey knowledge encoding global spatial relations.
      
In neural network systems, there is no symbolic system of knowledge encoding.
      
One possible approach to achieving this knowledge encoding would be to augment primitive-action planners with additional knowledge.
      
They all share a common fundamental architecture even if the knowledge encoding mechanisms differ.
      
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With respect for the design problems in civil engineering, a method for dealing with domain-specific knowledge expressed by natural language is presented. Based on the principle of aforesaid method, a fuzzy set-based knowledge acquisition system (FSBKA) is proposed. According to the language enviornment, FSBKA recognizes the semantics, gets semantic imformation and extracts the conceptual structural schemata from natural language sentences. By coding domain knowledge, the intermediate knowledge representations...

With respect for the design problems in civil engineering, a method for dealing with domain-specific knowledge expressed by natural language is presented. Based on the principle of aforesaid method, a fuzzy set-based knowledge acquisition system (FSBKA) is proposed. According to the language enviornment, FSBKA recognizes the semantics, gets semantic imformation and extracts the conceptual structural schemata from natural language sentences. By coding domain knowledge, the intermediate knowledge representations are produced and the knowledge acquisition process is performed automatically.

本文根据土木工程中工程设计问题知识的特点,提出了基于模糊集处理,以自然语言表征的领域专家知识的方法;设计了基于这一方法原理的智能知识获取系统FSBKA(Fuzzy Set-Besed Knowledge Acquisition)。该系统根据语言环境,进行语义识别,获得语义信息,从自然语言的语句中提取概念结构,进行知识编码,生成领域知识的中间表达,自动获取知识。

After analysis of main factors affecting an expert system, the paper proposes an expert system model based on optical paralled matching (ESBOPM) and a scheme of electro-optical hybrid hardware support system. The ESBOPM adopts quasi-production representation of knowledge, knowledge coding and knowledge matching operation parallellism techniques to suit the requirements of optical parallel matching. In the scheme of hardware support system, the parallel characteristics of optical information processing technique...

After analysis of main factors affecting an expert system, the paper proposes an expert system model based on optical paralled matching (ESBOPM) and a scheme of electro-optical hybrid hardware support system. The ESBOPM adopts quasi-production representation of knowledge, knowledge coding and knowledge matching operation parallellism techniques to suit the requirements of optical parallel matching. In the scheme of hardware support system, the parallel characteristics of optical information processing technique is used to realize the hardware support matching operation parallellism. The performance evaluation and experiment results show ESBOPM and its hardware support system are valid and increase the matching speed to 30.46 times (as compared with serial matching) or 7.55 times (as compared with indexed matching).

本文在分析影响专家系统效率的主要因素基础上,提出了一种基于光并行匹配的专家系统模型ESBOPM及其光电混合型硬件支持系统。在ESBOPM中,为了适应光并行匹配的需要采用了知识的类产生式表示方法、知识编码、知识匹配操作并行化等技术。在硬件支持系统方案中,利用光信息处理技术并行化特点实现匹配操作并行化的硬件支持。性能分析和实验结果表明ESBOPM及其硬件支持系统是有效的、合理的并且能显著地提高专家系统响应速度。

A method of implementing symbol logic inference system using recurrent multilayer perceptron neural networks is presented in this paper.Domain rule knowledge can be either acquired through learning domain sample set by neural networks or encoded into neural networks directly.Once domain rule knowledge has been stored in a neural networks,the neural networks can be used to implement any symbol logic inference in that domain.It is a theoretical base for studying relations between the abstract thought of human(logic...

A method of implementing symbol logic inference system using recurrent multilayer perceptron neural networks is presented in this paper.Domain rule knowledge can be either acquired through learning domain sample set by neural networks or encoded into neural networks directly.Once domain rule knowledge has been stored in a neural networks,the neural networks can be used to implement any symbol logic inference in that domain.It is a theoretical base for studying relations between the abstract thought of human(logic symbol processing) and thinking in images of neural network(linked data calculating).

介绍一种用循环多层感知器神经网络实现符号逻辑推理系统的方法。该方法通过让神经网络学习训练样本获取领域规则知识,或者直接将领域规则知识编码于神经网络之中,即用神经网络来表达领域规则知识,然后通过神经网络的循环反馈计算过程来实现任意形式的符号逻辑推理.为研究人类抽象思维(逻辑符号推理)与神经网络形象思维(联接数值计算)之间的关系提供了理论基础。

 
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