熵源強度 的英文怎麼說
中文拼音 [shāngyuánqiángdù]
熵源強度
英文
entropy source strength-
Among the decomposed synthesis reasoning sources, the field intensities were defined by dependency and classification methods based on the concept of positive region, by discernibility matrix method based on the rate of appearance, and by mutual information, condition entropy and mutual information gain rate methods based on information theory
在分解得到的綜合源中，基於正域的概念，用依賴度和分類質量方法定義了場強，根據屬性出現頻率， ?用差別矩陣定義了場強，並結合信息論，通過互信息、條件熵和互信息增益率定義了場強。The strong deviation theorems are new type theorems established by using the notion of the likelihood ratio. professor liu wen frist applied an analysis method in solving a class of strong deviation theorems for a sequense of random variables. later professor liu wen studied the shannon - mcmillan theorem in information theorems [ 2 ] - [ 8 ] and deviation theorems of non - negative continuous random variables [ 10 ] - [ 11 ] by using the analytic technique and obtained some strong deviation theorems. the chapter 2 of the paper studied a class of strong deviation theorems of function of two variables of information sources and obtained a further study of shannon - mcmillan theorem of markov information sourses by definning the using concept of entropy density divergence. the chapter 3 of the paper studied a class of strong deviation theorems of non - negative continuous random variables by using tool of transformation of laplace. information theory, as a branch of applied probability theory, becomes more and more important in appling
劉文教授在解決大數定律中，用首創的分析方法得到一類隨機變量序列的強偏差定理。后來，劉文教授把分析方法用於信息論中shannon - mcmillan定理和連續型隨機變量的偏差定理的研究，得到了若干強偏差定理。本文的第二章是引進任意信源相對熵密度偏差的概念，並利用這個概念研究任意信源二元函數的一類強偏差定理，得到了馬氏信源shannon - mcmillan定理的一個推廣。
分享友人