shannon information theory 中文意思是什麼

shannon information theory 解釋
香農信息論
  • shannon : 莎儂
  • information : n. 1. 通知，通報，報告。2. 報導，消息，情報。3. 資料，知識，學識。4. 【自動化】信息，數據。5. 【法律】起訴，告發。adj. -al
  • theory : n. 1. 理論，學理，原理。2. 學說，論說 （opp. hypothesis）。3. 推測，揣度。4. 〈口語〉見解，意見。
  1. So must use information theory method depict and abundant the genetic diversity index system. in addition to, the introduce of molecule biology technology and the research of nucleotide sequence evolutive give a new method for population genetic, so must do deeply research about the analysis method of dna sequence data = the research main about the follows : there are three parts about the information model of population genetic : one about the shannon information entropy property of equilibrium population and the entropy change in the process of establish equilibrium ; another research is about the diversity measure - ment of genetic variation ; lastly, research the shannon information measurement about the disequilibrium gene variation. the result is : 1 to a definite gene distribution, the genotype entropy reach the maximum at the equilibrium population, the process of population from disequilibrium to equilibrium, the entropy get large and large

    此外，分子生物技術的介入及核苷酸序列進化的研究都為群體遺傳學的深入研究提供了新的途徑，但關于dna序列數據的分析方法需要作進一步的研究。本研究主要體現在以下幾個方面： （一）關于群體遺傳學的信息論模型研究，主要分為三部分內容：一是群體平衡的shannon信息熵的性質和群體平衡建立的熵變性質；二是群體遺傳多樣性測度的研究；三是非平衡群體的基因變異測量shannon信息量的方法研究。得到了如下結論： 1 、平衡群體的shannon信息熵最大，群體平衡的過程是熵的增大過程。
  2. 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。
  3. Channel coding is one of the important part of communication system, whose theoretic base is the shannon ' s law of channel code set up by shannon who inaugurated the information theory in 1948

    通道編碼是通信系統中的重要組成部分之一，其理論基礎是1948年信息論的開創者香農提出的通道編碼定理。
  4. From the unique viewpoint of shannon information theory, this dissertation investigates the varying and transmission of information and uncertainty in control systems using measures of entropy, mutual information, kullback - leibler information and information rates, in time and frequency domains, respectively. several problems concerning state estimation, modeling, h control, performance limits and design constraints of control systems are addressed under this framework

    論文以有別于傳統控制理論的獨特視角? ?信息的觀點研究控制系統，採用shannon信息論中的熵、互信息、 kullback - leibler信息及相應的信息率分別考察了控制系統在時域和頻域中信息和不確定性的傳輸和變化，討論了狀態估計、模型化、 h _控制及控制系統性能極限和設計約束等領域的相關問題。
  5. Network information theory, although still partial, generalizes shannon ' s classic information theory and offers strong potential gains over conventional point - to - point communication techniques

    盡管網路信息論還不完整，但它能概括香農的經典信息論，並為傳統的點到點通信技術提供強大的潛在增益。
  6. Entropy theory is called by einstein as primary principle of science. the application of entropy theory in portfolio investment decision is researched in this paper. firstly, three - dimensions entropy measure criteria for risk based on shannon information entropy is studied

    本文研究了被愛因斯坦稱為「整個科學的首要法則」的熵理論在證券投資決策中的應用，首先對其中的shannon信息熵以及以此為基礎的風險的三維熵式度量法進行了深入的研究與分析，將該方法應用於組合投資決策中，建立了證券投資的三維熵式決策模型。
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