knowledge processing造句
例句與造句
- Knowledge process of consulting industry from the perspective of knowledge intensive business service
知識密集型服務(wù)業(yè)視角下咨詢業(yè)的知識過程 - A typed category theory is proposed for the abstract description of knowledge and knowledge processing
為了兼顧知識的語義，我們引進(jìn)類型的概念，提出帶類型范疇論。 - Practice indicates that decision support systems can supply more effective support when decision support systems have abundant knowledge and strong knowledge process ability
實(shí)踐表明，只有當(dāng)決策支持系統(tǒng)具有較豐富的知識和較強(qiáng)的知識處理能力時(shí)，才能向決策者提供更為有效的決策支持。 - Based on this , we construct a tri - dimensional strategic model framework vision - knowledge process - knowledge worker , and the knowledge avantage is the core concept of the model
同時(shí)，由于核心競爭力及其一些相近概念有其局限性，筆者首次定義了一種能重新解釋這個(gè)問題的知識優(yōu)勢力概念。 - As to the product design , from the view of knowledge processing , the methods of intelligent design are researched ; the main technologies and their implementation are also researched ; 2
在產(chǎn)品設(shè)計(jì)中從知識處理的角度研究了智能化設(shè)計(jì)的方法，進(jìn)而研究了智能化設(shè)計(jì)中的主要技術(shù)及其實(shí)現(xiàn)； 2 - It's difficult to find knowledge processing in a sentence. 用knowledge processing造句挺難的
- In the paper the principle of on - line automatic identification system of plant condition is studied appling the self - organization network and topography search method in knowledge processing
摘要本文應(yīng)用自組織特徵映照模型，以知識處理中的地勢搜索原理為出發(fā)點(diǎn)，研究并提出了在線式設(shè)備狀態(tài)自動(dòng)識別系統(tǒng)的工作原理。 - The formalization of aesthetics feeling , value direction is also adapt to knowledge process of product design which is a field full of fuzzy , uncertain , dynamic and changing information . the paper also builds a web - based opening learning environment
并構(gòu)建了基于internet的開放學(xué)習(xí)環(huán)境，研究了人腦模型與學(xué)習(xí)環(huán)境融合、設(shè)計(jì)師與學(xué)習(xí)環(huán)境融合的人機(jī)伴隨工作模式。 - This thesis in the background of science literature information process , investigates the text categorization techniques based - on fuzzy knowledge process both in theory and application deeply , and the main works is as follows : 1
本文以科技文獻(xiàn)信息處理為背景，從理論和應(yīng)用的角度對基于模糊知識處理的文本分類技術(shù)進(jìn)行了較為深入的研究，主要工作總結(jié)如下： 1 - Also , tckm will support the development and execution of km systems with high performance from two dimensions : constructing shared understanding foundation , promoting the open evolution of om ( organization memory ) , and in two levels : knowledge process and knowledge meta - process
并從兩維：構(gòu)建共享的理解基礎(chǔ)、促進(jìn)om (組織記憶)的開放性進(jìn)化；分二個(gè)層次：知識過程和知識元過程，支持高性能km系統(tǒng)的開發(fā)和運(yùn)行。 - Many experiences show that lots of practical classification cannot give the precise result that one object belong to one class , while only give the probability of one object belong to one class . so we can apply the fuzzy knowledge process technology to the field of text categorization , and we can get more precise classification results by using appropriate fuzzy
并且實(shí)際經(jīng)驗(yàn)告訴我們，很多實(shí)際分類問題往往不好精確地確定某個(gè)對象屬于某個(gè)類，而只能給出某個(gè)對象屬于某個(gè)類的可能性有多大，因此將模糊知識處理的理論技術(shù)應(yīng)用到文本分類的領(lǐng)域中，利用適當(dāng)?shù)哪：炊梢赃_(dá)到更精確的分類結(jié)果。 - Teachers in the past put much time and many efforts in the * so - called " exercises sea tactics " , but students still can not achieve good ideation as well as the examination results . , in the recent years , thanks to the recognition of the agile and integrative application of the basic knowledge as the college entrance examination focuses closely on the general outline of the texts , teachers hence have an opportunity to pay much attention to working over the texts , laying solid foundation and fostering ability for the students . this article describes , through teaching practice , mainly on how to " press close to the texts while insist on necessary versatility " , it includes : 1 . design the scene of the question so as to introduce the topic , emphasis on the knowledge process
這篇文章主要通過一些教學(xué)實(shí)踐談?wù)勅绾巍百N近課本，有所變通” ，主要從如下幾個(gè)方面進(jìn)行闡述： ( 1 )設(shè)計(jì)問題情境引入課題，注重展示知識的形成過程( 2 )注重變式教學(xué)，挖掘課本中例題、習(xí)題的內(nèi)涵，或?qū)⒃}中的條件或結(jié)論改變一下，使之成為一個(gè)新例題；或?qū)⒔滩闹械囊恍├}、習(xí)題改編為_些開放題進(jìn)行教學(xué)，培養(yǎng)學(xué)生的創(chuàng)新能力和創(chuàng)新精神；或?qū)φn本例題、習(xí)題的解法來一個(gè)拓寬，探索其多解性( 3 )重視課本知識的歸納，培養(yǎng)學(xué)生的概括能力( 4 )將課本中的數(shù)學(xué)問題與生活中的實(shí)際問題聯(lián)系起來，強(qiáng)調(diào)數(shù)學(xué)的應(yīng)用( 5 )在講解例、習(xí)題的過程中，融入數(shù)學(xué)史和數(shù)學(xué)的美學(xué)知識，激發(fā)學(xué)生的學(xué)習(xí)興趣。 - The research of this paper is spread out mainly around 5 aspects : ( 1 ) the description of xmarc information theory system based on xml under network environment ; ( 2 ) the advanced design of field xmarc metadata ; ( 3 ) the foundation of k - s - c special knowledge relation by the identification " keyword + subject + category " ; ( 4 ) the establishment of xmarc theme knowledge automatic indexing and its algorithms ; ( 5 ) the research on knowledge processing method of concept retrieval and the theme classification based on xmarc
本文主要的工作是圍繞五個(gè)方面展開的：建立網(wǎng)絡(luò)環(huán)境下基于xml的xmarc信息描述理論體系，比較設(shè)計(jì)領(lǐng)域的xmarc元數(shù)據(jù)，構(gòu)建以“關(guān)鍵詞+主題詞+范疇號”標(biāo)識的知識關(guān)系k - s - c ( keyword - subject - category ) ，建立xmarc主題知識的標(biāo)引方摘要法及其算法，提出xmarc主題知識的分類與詞句概念檢索方法。 - With the popularize and application of computer and internet , from data processing , information processing to knowledge processing , the need of deepness and extent for language character processing is more and more high . people consider that a country ’ s information processing level and quantity represents his degree to enter information society basically . the processing ability on language character information is directly relation to the international competition ability in network society and network economy
隨著計(jì)算機(jī)和因特網(wǎng)的推廣應(yīng)用,由數(shù)據(jù)處理、信息處理發(fā)展到知識處理,對語言文字處理要求的深度和廣度越來越高,可以認(rèn)為一個(gè)國家的語言文字的信息處理水平和處理量基本上代表了這個(gè)國家進(jìn)入信息社會的程度,其語言文字信息的處理能力直接關(guān)系到它在網(wǎng)絡(luò)社會和網(wǎng)絡(luò)經(jīng)濟(jì)中的國際競爭能力。 - Not being the prefect models of the human neural networks , anns can be widely used to obtain new knowledge from data . therefore , anns can solve some difficult problems , such as speech / image recognition and comprehension , knowledge processing , combinational optimization , intelligent control
盡管它還不是大腦的完美無缺的模型，但它可以通過學(xué)習(xí)來獲取外部的知識并存儲在網(wǎng)絡(luò)內(nèi)，可以解決計(jì)算機(jī)不易處理的難題，特別是語音和圖像識別、理解、知識的處理、組合優(yōu)化計(jì)算和智能控制等一系列本質(zhì)上非計(jì)算的問題。