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dynamic increment in Chinese

Pronunciation:
How to pronounce "dynamic increment""dynamic increment" in a sentence

Translationmobile phoneMobile

  • 動力增量

Examples

  • 2 . in the dynamic increment database , data mining models of consistent and inconsistent decision system are formulated
    在增量式動態(tài)數(shù)據(jù)庫中，提出了相容性和不相容性決策系統(tǒng)的數(shù)據(jù)挖掘模型。
  • It is proposed that the fixed capacity investment and cargo discharge regression forecasting model and the optimal average information customer distribution model can be used to predict the cargo o - d distribution . the capacity limitation dynamic increment comprehensive network model can be applied to the prediction of the channel cargo transportation discharge and the turnover discharge in the main courses . the main courses network plan grade can be verified by the total cost method , and according to which the economic rationality of constructing different grade channels can be evaluated
    本文開展了平原水網(wǎng)地區(qū)航道網(wǎng)規(guī)劃方法的研究，提出了采用固定資產(chǎn)投資完成額與貨運(yùn)量回歸預(yù)測模型；平均信息量用戶最優(yōu)分布模型預(yù)測貨物o - d的分布；容量限制動態(tài)增量綜合網(wǎng)絡(luò)配流模型預(yù)測干線航道貨物運(yùn)輸量和周轉(zhuǎn)量；采用總費(fèi)用法論證干線航道網(wǎng)規(guī)劃等級，據(jù)此評定建設(shè)不同等級航道的經(jīng)濟(jì)合理性。
  • This paper recurred to the basic theory of rough set of data mining and under the direction of the frame of intelligent decision , the main theories include i ) the different methods of data mining on the base of rough set are used to deal with typical decision system namely consistent decision system and inconsistent decision system in order to carry through data reduction and rule distilment ; ii ) in the environment of dynamic increment database , the methods of data reduction to deal with the original data and increment data are discussed in the consistent and inconsistent decision system ; iii ) the method of data mining of rough set is analysized to treat with the attributes with priority ; iv ) on the base of basic rough set theory , the data analysis methods of amalgamation of rough set theory ; v ) and also the pre - disposal method to database is analysize
    本文從系統(tǒng)工程進(jìn)行決策分析的角度出發(fā)，借助數(shù)據(jù)挖掘技術(shù)中粗糙集的基本理論，在智能決策框架的指導(dǎo)下，研究了基于數(shù)據(jù)挖掘的智能決策理論及方法。主要理論包括：如何利用粗糙集對典型的決策系統(tǒng)即相容性決策系統(tǒng)和不相容性決策系統(tǒng)運(yùn)用不同的數(shù)據(jù)挖掘方法進(jìn)行有效的數(shù)據(jù)約減和規(guī)則提??；在增量動態(tài)的數(shù)據(jù)庫環(huán)境下討論了在典型決策系統(tǒng)中對原始數(shù)據(jù)和增量數(shù)據(jù)進(jìn)行數(shù)據(jù)約減的方法；分析了帶有優(yōu)先權(quán)屬性的粗糙集數(shù)據(jù)挖掘方法；以基本粗糙集為基礎(chǔ)探討了粗糙集擴(kuò)展模型的數(shù)據(jù)分析方法；研究了粗糙集數(shù)據(jù)預(yù)處理方法。
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