knowledge presentation造句
造句與例句
手機(jī)版
- Xml knowledge presentation based on object
知識(shí)表示方法 - knowledge presentation technique
知識(shí)表達(dá)技術(shù) - However, during practical applications, the performance of the knowledge presentation is always reflected directly by the efficiency of the accomplishment of tasks
但在實(shí)際的應(yīng)用中,知識(shí)的表示形式的優(yōu)劣性將最直接的反映在完成任務(wù)的效率上。 - Because environments usually have uncertainty information, the research of uncertainty knowledge presentation and inference is very provided with practice
一個(gè)機(jī)器人關(guān)于它的任務(wù)和環(huán)境常常只有不確定的信息，所以研究不確定性知識(shí)表達(dá)和推理很具有現(xiàn)實(shí)意義。 - Intelligent e-knowledge base engine for any kind of knowledge-based applications, supporting effective knowledge presentation, precise knowledge search, adaptive learning and immediate consulting
智能電子知識(shí)庫引擎供任意基于知識(shí)的應(yīng)用程序使用，支持有效的知識(shí)表達(dá)，精確的知識(shí)搜索，適應(yīng)性學(xué)習(xí)和即時(shí)查詢。 - General knowledge machine project-intelligent e-knowledge base engine for any kind of knowledge-based applications, supporting effective knowledge presentation, precise knowledge search, adaptive learning and immediate consulting
智能電子知識(shí)庫引擎供任意基于知識(shí)的應(yīng)用程序使用，支持有效的知識(shí)表達(dá)，精確的知識(shí)搜索，適應(yīng)性學(xué)習(xí)和即時(shí)查詢。 - The expert system model encapsulate a few supporting mechanisms including knowledge presentation, inference engine, explain engine and knowledge acquisition . it can realize storage and manage the knowledge and deduce function based on special knowledge
本文實(shí)現(xiàn)的專家系統(tǒng)模型封裝了知識(shí)表示形式、推理機(jī)制、解釋機(jī)制以及知識(shí)獲取等支撐設(shè)施，可以實(shí)現(xiàn)對知識(shí)的存儲(chǔ)、管理以及基于特定知識(shí)的推理功能。 - Fourth, the learning-case teaching mode profits the teachers " cooperation because of the objectivity of the learning case which design the manner of knowledge presentation, not the teacher " s action . it is possible to get the best cases to guide the students to learn indispensably
n）數(shù)學(xué)學(xué)案教學(xué)有利于教師之間的交流與合作數(shù)學(xué)學(xué)案是從學(xué)習(xí)者的角度編寫的指導(dǎo)學(xué)生自學(xué)的材料，是對數(shù)學(xué)知識(shí)和問題情境的創(chuàng)造性設(shè)計(jì)，而不是對教師活動(dòng)的設(shè)計(jì)。 - In part of theory, the paper analyses the present situation of its, presents its theoretical base, constructs a teaching mode of dual-initiative, gives its structure, discuss its writing environment, provides a reference of integrating object-oriented database and ai; in part of design, the paper combines method of fields knowledge representation, presents teaching strategy reasoning machine based on weight-generation production rule; according to cognitive learning theory, designs a cognitive model of student which adopts approach method and historical inheritance of study, designs a model which can navigate in learning process and in hyper-text based on student's model and knowledge presentation, discusses the design of explanation mechanism and man-machine interface
在理論部分，本文分析了its的現(xiàn)狀，提出了its的理論基礎(chǔ)，建構(gòu)了一個(gè)雙主的教學(xué)模式，并給出了its的結(jié)構(gòu)，討論了智能教學(xué)系統(tǒng)的寫作環(huán)境的選擇，為本文的面向?qū)ο髷?shù)據(jù)庫和人工智能的結(jié)合提供了依據(jù)；在設(shè)計(jì)部分，本文結(jié)合領(lǐng)域知識(shí)表示方法，給出了一個(gè)面向?qū)ο蟮恼J(rèn)知的超文本的知識(shí)表示方法，提出了基于加權(quán)產(chǎn)生式規(guī)則的教學(xué)策略推理機(jī)；依據(jù)認(rèn)知學(xué)習(xí)理論，設(shè)計(jì)了一個(gè)采用逐步逼近法的有學(xué)習(xí)歷史繼承的認(rèn)知學(xué)生模型，并根據(jù)學(xué)生模型和知識(shí)表示設(shè)計(jì)一個(gè)學(xué)習(xí)過程自動(dòng)導(dǎo)航和超文本導(dǎo)航的教學(xué)模型；討論了智能系統(tǒng)解釋機(jī)制和人機(jī)接口的設(shè)計(jì)。 - Firstly the paper studies the development and application problems in exited data mining system, and presents a development model of data mining system based on component, and discusses the architecture, principle and characteristic of the system . then it discusses the design and realization of every component including data access component, pretreatment component, data mining algorithm component and knowledge presentation component . at last, component realization, classification, usage and integration of application system are studied, and it gives the process of integrating mining component in enterprise manage development and the application effect
論文首先研究了現(xiàn)有數(shù)據(jù)挖掘系統(tǒng)開發(fā)和應(yīng)用所面臨的問題，提出基于組件的數(shù)據(jù)挖掘系統(tǒng)模型，并論述了基于com組件的dmas的系統(tǒng)結(jié)構(gòu)、工作原理和系統(tǒng)特點(diǎn)；其次，分別討論了組成系統(tǒng)的數(shù)據(jù)存取組件、數(shù)據(jù)預(yù)處理組件、數(shù)據(jù)挖掘算法組件和知識(shí)表達(dá)組件各個(gè)模塊的設(shè)計(jì)原理、方法和所使用的關(guān)鍵技術(shù)，并論述了實(shí)現(xiàn)交互式數(shù)據(jù)挖掘的設(shè)計(jì)；再次，論述了實(shí)現(xiàn)數(shù)據(jù)挖掘組件的具體方法和步驟以及在企業(yè)應(yīng)用系統(tǒng)開發(fā)過程中集成組件的設(shè)計(jì)過程；最后論文給出了在酒店管理系統(tǒng)中集成數(shù)據(jù)挖掘組件的應(yīng)用實(shí)例和效果。 - It's difficult to see knowledge presentation in a sentence. 用knowledge presentation造句挺難的
- There are two kinds of retrieval model, full text retrieval and content retrieval, and the vector space model ( vcm ) of the latter is a widely-used method with better effect . the best excellence of vcm is the predominance of knowledge presentation, which expresses documents with vectors in vector space and changes the comparability issue to the distance of vectors, and thus reduces the complexity of documents matching . however . we can not affirm the absolute effect of it, and in this thesis we prove its nonproficiency through experiments
向量空間模型最大的優(yōu)點(diǎn)在于知識(shí)表示方法上的巨大優(yōu)勢，用n維空間的向量表示文檔，用向量之間的夾角表示文檔的相似度，從而將文檔信息的匹配問題轉(zhuǎn)化為向量空間中的矢量匹配問題，將難以計(jì)算的文字量化成很容易計(jì)算的實(shí)數(shù)，使問題的復(fù)雜性大大減小。但是，并不能夠說目前的向量空間模型是最理想的，本文通過實(shí)驗(yàn)證明了vcm表達(dá)信息的不精確性。 - This paper is based on the chongqing science & technology surmounting project, whose name is 《 the research of the industry application oriented intelligent developing platform & system 》 . the paper is mainly introduce knowledge presentation and reason based on probability-- causality network and technology in the system
本論文依托的課題是重慶市的科技攻關(guān)課題??《面向工業(yè)應(yīng)用的智能開發(fā)平臺(tái)及系統(tǒng)研究》，主要介紹了基于概率的知識(shí)表達(dá)與推理方法??因果圖和軟件實(shí)現(xiàn)技術(shù)。 - Therefore, based on original fuzzy expert system, this paper digs into the combination of predicate presentation and fuzzy inference, which greatly enhanced the knowledge presentation ability of the original system . so a new expert system with more powerful presentation ability and reasoning ability is built up
因此,在原有的模糊專家系統(tǒng)基礎(chǔ)上,本文研究了謂詞的表示形式和不精確推理的結(jié)合,大大增強(qiáng)了原來系統(tǒng)的知識(shí)表示能力,從而建立了一個(gè)表示能力和推理能力更強(qiáng)的專家系統(tǒng)。 - The paper combined with the " national 863 plan " project of " research and application of development tool of intelligent agricultural information system ", tried to discuss some improvement about knowledge presentation method of " multi-level knowledge unit " and designed new " multi-ejb " inference mechanism, the paper on the one hand to bring forward to apply xml technology to knowledge presentation and to improve " fku','rku " unit .,
本文以國家八六三項(xiàng)目“智能化農(nóng)業(yè)信息處理系統(tǒng)開發(fā)平臺(tái)的研究及應(yīng)用”為背景，在知識(shí)表示方法的改進(jìn)和多組件推理機(jī)方面做了一些探討和研究。論文主要是開展了兩方面的工作。一方面是對原有知識(shí)單元表示方法進(jìn)行了改進(jìn)，主要集中在對原有fku,rku單元作了更嚴(yán)格的定義，使rku不隸屬于某個(gè)特有的fku單元，同時(shí)給出了知識(shí)表示方法的xml格式。 - The paper combined with the " national 863 plan " project of " research and application of development tool of intelligent agricultural information system ", tried to discuss some improvement about knowledge presentation method of " multi-level knowledge unit " and designed new " multi-ejb " inference mechanism, the paper on the one hand to bring forward to apply xml technology to knowledge presentation and to improve " fku','rku " unit .,
本文以國家八六三項(xiàng)目“智能化農(nóng)業(yè)信息處理系統(tǒng)開發(fā)平臺(tái)的研究及應(yīng)用”為背景，在知識(shí)表示方法的改進(jìn)和多組件推理機(jī)方面做了一些探討和研究。論文主要是開展了兩方面的工作。一方面是對原有知識(shí)單元表示方法進(jìn)行了改進(jìn)，主要集中在對原有fku,rku單元作了更嚴(yán)格的定義，使rku不隸屬于某個(gè)特有的fku單元，同時(shí)給出了知識(shí)表示方法的xml格式。
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