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intelligence model中文是什么意思

  • 智力模型
  • 智能模型

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  • Specific recruiting criteria according to core intelligence model of the organization
    根據(jù)企業(yè)的核心資質(zhì)模型為企業(yè)制定明確的招聘標(biāo)準(zhǔn)
  • The research of the business intelligence modeling in particular area is very important to promote its application
    本文通過bi技術(shù)在crm系統(tǒng)中的應(yīng)用,主要研究了目前較為流行的bi 、 olap分析等技術(shù)在國內(nèi)企業(yè)中實(shí)現(xiàn)方式
  • In allusion to these shortcoming , this paper studies how to design embroidery drafts automatically by computer . through analyzing and describing the pattern of embroidery drafts , characteristic meta and engineering database are created . then we displace and synthesize the elements according to generation rules to build new patterns . at last the stitches are generated automatically by exerting corresponding artificial intelligence models
    通過對花稿圖案的分解、描述,生成特征圖元、圖構(gòu)件工程數(shù)據(jù)庫,然后根據(jù)繡花圖稿生成規(guī)則進(jìn)行元素的替換、綜合,以生成各種新的花稿圖案,并運(yùn)用適當(dāng)?shù)娜斯ぶ悄苣P蛯@些圖案進(jìn)行自動(dòng)針法生成。
  • In the other way , paper build a new model . paper make a deep resinous on road face quality judgment by making use of advanced way of intelligence model building ( neural network , vague logic way . i . e ) , and these models are better in manipulate nature , and higher in forecasting precision
    論文利用目前國際上前沿性的智能建模方法(神經(jīng)網(wǎng)絡(luò)、模糊邏輯方法等)就路面性能評價(jià)模型進(jìn)行了較為深入的研究,所得到的模型在科學(xué)性和可操作性上都較強(qiáng),預(yù)測精度較高。
  • First , there is no specific parameter for quantization ; second , the effects of transaction fee are ignored ; third , because these models are equilibrium models , they can ’ t reveal many of the prosperities observed in empirical markets , such as fat - tails , long - range correlations in volatility , etc . in the process of i study financial economics , when the teacher xu jia - gen to speak the price of the stock market to visit the distance examination and the artificial intelligence models , i think , if mathematics combines with the calculator . ( i studied mathematics four years in the southwest normal university ) . the stock market price exercise regulation will easily confidence
    首先,沒有用具體的參數(shù)來量化股市的行為,其次,它們都忽略了交易費(fèi)對股市的影響,第三,由于這些模型都是均衡模型,無法展示實(shí)際市場回報(bào)分布的特點(diǎn),諸如“肥尾”現(xiàn)象、集群波動(dòng)等。在我學(xué)習(xí)金融經(jīng)濟(jì)學(xué)的過程中,徐加根老師講到股票市場價(jià)格的游程檢驗(yàn)與人工智能模型時(shí),我想,如果數(shù)學(xué)與計(jì)算機(jī)的結(jié)合(在西南師范大學(xué)學(xué)習(xí)了四年數(shù)學(xué)) ,股票市場價(jià)格運(yùn)動(dòng)規(guī)律就容易把握了。
  • With artificial neural network to consider affecting the rock to crack in pre - split blasting , people have established the calculation of intelligence model system which can predict and forecast the result and overcome the lack of the theory , model and empirical formula . the system has very great realistic meaning in designing and guiding actual engineering . with the rock ' s crack in pre - split blasting as the studied object , the reason of crack of mineral and rock in pre - split blasting and the parameter design are studied in the paper
    運(yùn)用人工神經(jīng)網(wǎng)絡(luò)綜合考慮影響巖石預(yù)裂爆破成縫的因素,建立運(yùn)算模型智能系統(tǒng),可克服目前預(yù)裂爆破成縫理論、成縫模型、經(jīng)驗(yàn)公式的不足,對實(shí)際工程的設(shè)計(jì)與指導(dǎo),具有很大的現(xiàn)實(shí)意義本文以巖石預(yù)裂爆破成縫作為研究對象,對礦巖的預(yù)裂成縫機(jī)理及其參數(shù)設(shè)計(jì)進(jìn)行了研究。
  • This subject is a national fund project in science : an attribute theory and method for thinking construction and memory style ( 60075016 ) , and a branch fund project in development of education , science and technology of shanghai ( 01g04 ) : intelligence modeling . it is also another one of shanghai zhenhua limited liability corporation : status detection and security estimation for derrick
    本課題是國家自然科學(xué)基金項(xiàng)目:思維建構(gòu)與記憶模式的屬性論方法( 60075016 )和上海市高教科技發(fā)展基金項(xiàng)目:思維建構(gòu)與智能模擬的屬性論方法( 01g04 )的子課題,同時(shí)也是上海振華有限公司的項(xiàng)目:橋吊狀態(tài)監(jiān)測與安全評估系統(tǒng)。
  • The first chapter analyzes the existing problem of agent and presents the meaning and content , which this paper confined to ; the general structure , mobile agent platform and key technologies and researches of specifications are given in the second chapter ; the paper attaches more to intelligence model of mobile agent , migration plan , training and learning of mobile agent , migration strategy based on correlation , migration strategy based on correlation and neural network in the third chapter4 ; in the fourth chapter we give simulation experiment based on above migration strategy and analyze the experiment result ; the last chapter sums up the researches of this paper and the unsettled problems
    最后簡要總結(jié)論文的主要工作,并提出今后要做的工作。本文共分五章。第一章分析現(xiàn)有agent存在的問題,提出本文研究內(nèi)容與意義;第二章概述了agent 、移動(dòng)agent平臺(tái)及關(guān)鍵技術(shù)、規(guī)范的研究情況;本文重點(diǎn)在第三章討論了移動(dòng)agent智能遷移模型、 agent遷移計(jì)劃、 agent學(xué)習(xí)與訓(xùn)練,基于相關(guān)分析agent遷移策略,基于相關(guān)分析與神經(jīng)網(wǎng)絡(luò)agent遷移策略;第四章對提出的agent遷移策略進(jìn)行模擬實(shí)驗(yàn)并分析實(shí)驗(yàn)結(jié)果。
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