entropy of information造句
例句與造句
- The algorithm makes use of maximum entropy of information theory and gets optimal solution by a small - scale
該算法利用了信息論中極大熵原理，使算法以較小的規(guī)模得到較好的最優(yōu)解。 - And weighted infromation entropy and weighted conditional entropy of information system based on set - value function is presented also
還提出了基于一般的集值函數(shù)的信息系統(tǒng)加權(quán)信息熵和條件熵概念。 - So far , there have been many heuristic algorithms for building decision trees . most are based on the entropy of information or vagueness , such as id3 , min - ambiguity and their variation
目前，已有許多種構(gòu)建決策樹(shù)的方法，大多數(shù)是基于信息熵的或信息的不確定性，例如， id3算法， min ? ambiguity算法以及它們的變異版本。 - 3 adopting the theory of entropy of information to set up the definition and formula of the market transaction entropy , the market structure entropy and the market competition degree , provide the theory and method to analyses the changing tendency of coal industry market competition
3 、依據(jù)信息熵的理論，創(chuàng)建了市場(chǎng)交易熵、市場(chǎng)結(jié)構(gòu)熵和市場(chǎng)競(jìng)爭(zhēng)度的概念和計(jì)算公式，并建立了市場(chǎng)交易和市場(chǎng)結(jié)構(gòu)的熵函數(shù)，為分析煤炭產(chǎn)業(yè)市場(chǎng)競(jìng)爭(zhēng)的變化趨勢(shì)提供了理論方法。 - Based on the information theory , it is proved that the entropy of information system and the mutual information of decision system are constant in the hierarchization of attributes . so the rst hierarchical reduction approaches have strict mathematic basis . the application in acquiring the control decision of a cement kiln shows the validity of the hierarchical reduction approach
本文從信息理論的角度分別證明屬性分層遞階不改變信息系統(tǒng)的信息熵和決策系統(tǒng)的互信息，從而使分層遞階約簡(jiǎn)算法體系具有嚴(yán)格的數(shù)學(xué)基礎(chǔ)；分層遞階約簡(jiǎn)算法在某水泥窯爐控制決策獲取中的應(yīng)用證實(shí)其有效性。 - It's difficult to find entropy of information in a sentence. 用entropy of information造句挺難的
- It is proved that this approach reduces the entropy of information system and the mutual information of decision system . according to information theory , this approach is better than other completion methods , such as remove incompletes , mean / mode fill , combinatorial completion and similarity relation model
本文證明該拓展算法使信息系統(tǒng)的信息熵(決策系統(tǒng)的互信息)減小，在信息理論意義上優(yōu)于刪除法、擴(kuò)展法、默認(rèn)值替代法和相似模型法等常用的完備化處理方法。