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   network knowledge representation 的翻译结果: 查询用时:0.008秒
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network knowledge representation
相关语句
  网络知识表示
     Network Knowledge Representation Based on Expanded Mode of Resource Description Framework Schema(RDFS)
     基于RDFS扩展模式的网络知识表示
短句来源
     The integrated Taxis environment for information systems development takes Semantic Network Knowledge Representation as its framework.
     集成化的Taxis信息系统开发环境是以语义网络知识表示为基本框架的。
短句来源
     SEMANTIC NETWORK KNOWLEDGE REPRESENTATION BASED ON ATTRIBUTE PETRI NET
     基于属性Petri网的语义网络知识表示
短句来源
     Based on the analysis on the characteristics of semantic network knowledge representation and neural network,the paper proposes some ideas about the knowledge representation of neural network base on the methods of knowledge presentation of semantic network.
     文章通过分析语义网络知识表示及神经网络研究的各自特点与现状,提出了将基于语义网络的知识表示方法引入神经网络知识处理中的设想,并作了一些初步的探讨。
短句来源
     Secondly,a model of semantic network knowledge representation based on the attribute Petri net is gived. It adaptes to describe sensation attributive Abstraction and integration.
     其次给出了基于属性Petri网的语义网络知识表示模式,此模式适合于感觉特征抽取与整合,和基于该机制的各种思维功能的描述。
短句来源
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  “network knowledge representation”译为未确定词的双语例句
     By introducing the semantic network knowledge representation and integrating object oriented technology and hypermedia method, we propose a Knowledge based Authoring Model (KAM). Further more, We describe its formal definition and discuss the structure of model. There are some characters of KAM model,(1)Supporting the separation of the structure and the content;
     通过对传统方法进行分析,引入语义网络的知识表示方法,将面向对象技术与超媒体方法相结合,提出了一个基于知识的多媒体创作模型(KAM),给出了KAM模型的形式化定义,并对该模型的结构进行了讨论.KAM模型具有以下特点:(1)支持结构与内容的分离;
短句来源
     This paper discusses the process and content of cognition and thinking, and gives an introduction to the Conceptual Network Knowledge Representation System (ConNet).
     分析了认识与思维的过程及内容,介绍了概念网络知识表达框架体系。
短句来源
     Aiming at knowledge representation problem of intelligent diagnostic system for skin microscopic images,semantic network knowledge representation is discussed.
     针对皮肤症状中的知识表示问题,讨论了语义网络的知识表示方法.
短句来源
  相似匹配句对
     Knowledge on Broadband Network
     对宽带上网的认识
短句来源
     KNOWLEDGE ECONOMY AND NETWORK
     关于知识经济与网络的理论思考
短句来源
     c network.
     针对特殊的网络分析了纳什均衡的性质;
短句来源
     Knowledge Representation in Neural Network
     神经网络的知识表示
短句来源
     NETWORK
     网络技术
短句来源
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The paper proposes a formal description language for neural networks knowledge representation and the concept of knowledge unit,to represent the concepts,attributes,and their layered relationship.The measuring standard of stimulus strength,the formal method of inheritance and recognition in neural networks,and the neural networks positive and negative problem solving mechanism are presented.This work effectively refutes the common criticism that neural networks can not represent...

The paper proposes a formal description language for neural networks knowledge representation and the concept of knowledge unit,to represent the concepts,attributes,and their layered relationship.The measuring standard of stimulus strength,the formal method of inheritance and recognition in neural networks,and the neural networks positive and negative problem solving mechanism are presented.This work effectively refutes the common criticism that neural networks can not represent highly structured knowledge and infer on these knowledge.

本文提出了神经网络(NN)知识表示的形式化描述语言和知识单元的概念,用于给出传统符号逻辑中的概念、属性及它们之间的层次关系如何在神经网络中进行表示,提出了激活强度的度量标准,从而在理论上给出了NN中继承和识别问题的形式化处理方法,在此基础上,提出了NN正向和反向问题求解机制,这里,值得一提的是,本文通过在某一特定领域中对NN推理机制的成功探讨,有力地反驳了人们对于NN模型的一个公开批评,即:它不能表达高度结构化的知识并在这种知识上进行有效的推理。

The method combining the neural network with the traditional expert system is studied.A new description language for neural network knowledge representation and the concept of knowledge unit is proposed. The knowledge guides in neural network by (B-B) BP and IMSBP. And a Solving Strategy for the neural network positive and negative problem is presented. A example of the heating furnace controlled object by using the description language is given.

将神经网络与人工智能技术相结合,提出了1种新型的知识表示的形式化描述和知识单元。知识通过模式分类导入,并用IMSBP和(B-B)BP调节2种不同类型的权。在此基础上提出了神经网络的双向求解策略。以加热炉控制验证了其可行性。

An intelligent extension model of hypermedia based on semantic network knowledge representation is investigated. Methods for storing and managing structural knowledge are presented. An intelligent hypermedia architecture based on semantic network knowledge representation is proposed.

对基于语义网络知识表示的超级媒体(Hypermedia/Hypertext)智能化扩充模型进行了探讨,给出了结构化知识在超级媒体中的存储和管理方法,提出了基于语义网络的超级媒体智能化扩充的系统结构.

 
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