population entropy 中文意思是什麼

population entropy 解釋
總體熵
  • population : n. 1. 人口；人口總數；全體居民；人口的聚居。2. 物的全體[總數]；【生物學】蟲口；種群（量）；群體；族，組，個數；【統計學】對象總體，全域。3. 【物理學】布居；密度。4. 〈罕用語〉殖民。
  • entropy : n. 1. 【物理學】熵。2. 【無線電】平均信息量。
  1. ( 2 ) two pair of allel population to two pair allel population, every locus ' s entropy and population entropy were set up

    （ 2 ）兩對等位基因群體對兩對等位基因群體，建立了各位點熵，群體熵。
  2. The maximum entropy principle were used to follow population : ( 1 ) mutiallel population in all population that have the given gene distribution, the equilibrium population entropy reach it ' s maximum, the maximum entropy more than 0, and less than 2 nk ( k is the number of the allel ), and maximum entropy equal two times of the same locus gene entropy

    （ 1 ）復等位基因群體對具有同一基因庫的復等位基因位點，用最大熵證明了該位點所對應的所有群體中，平衡群體的基因型熵最大，其數值大於等於0 ，小於等於21nk （這里k為該位點等位基因數目） ，且等於該位點基因庫熵的兩倍。
  3. But the population genetic that based on the statistic model ca n ' t explain the entropy change disciplinarian in the process of evolution, and the genetic diversity index system not enough prefect

    但目前建立在統計學基礎上的群體遺傳學尚未闡述清楚進化過程群體的熵變規律，而且遺傳多態性分析的指標體系不夠完善，因而必須用信息論方法科學描述和豐富遺傳多樣性的指標體系。
  4. 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。
  5. Used the most information entropy principle prove the follow statement : when the population get equilibrium, the genotype information entropy and gametal information reach the maximum, gametal information entropy is the sum of every locis information entropy, genotype information entropy is equals two times of gametal information entropy

    用最大熵原理證明了群體平衡時，基因型信息熵及配子信息熵最大，配子信息熵為各位點信息熵之和，基因型信息熵為配子信息熵的兩倍。
  6. This paper introduces the entropy of the genepool and the genetype of a pair alleles population in inbreeding, and demonstrates the character of genetype entropy, the character of inter - zygote ' s inter - entropy, and the relation between the latter and coefficient of inbreeding in the generation change

    摘要研究了在近親繁殖下一對等位基因群體的基因庫信息熵和基因型信息熵，並討論了在世代交替中基因型信息熵的性質、配子間的互信息性質及其與近交系數的關系，並定義了配子間的近交關聯信息系數。
  7. ( 3 ) inbreeding population to the population that the inbreeding coefficient is f, the population information entropy is a increase function when reach equilibrium in random matting system, that is when fix the f, the population have the largest information entropy ; population information entropy large or equal to the gene distribution entropy, less or equal the two time of gene distribution entropy

    （ 3 ）近親繁殖群體證明了近交系數為f的群體在隨機交配下達到平衡的群體信息熵是f的增函數，即f固定時，其值最大；群體信息熵大於等於基因庫信息熵，小於等於基因庫信息熵的兩倍。
  8. This paper deduces the associated probability distribution of a pair alleles population between a female genotypes and its descendant genotypes in inbreeding, defines the associated genotype entropy between a female parental genotypes and its descendant genotypes in inbreeding, demonstrates its character and interpretation of informatics in the generation change, and tests them by imitation of computer

    摘要推導出在近親交配下一對等位基因群體母子間的基因型聯合概率分佈列；定義了在近親交配下母子間的基因型聯合信息熵；討論了在世代交替中母子間的基因型聯合信息熵的性質及其信息學解釋；並用計算機模擬驗證。
  9. Better segmentation effect can be attained by coding gray levels of pixels as eigenvector, taking advantage of histogram entropy principles function as fitness function, adopting ranking selection operation, making use of arithmetic crossover and mutation at a certain probability, combining with clustering analysis to initialize clustering center of the population to segment cells image with genetic algorithm

    以像素的灰度值為特徵向量進行編碼，利用直方圖熵法準則函數作為適應度函數，採用基於排名的選擇操作，以一定的概率進行算術交叉和變異，並結合聚類分析設定種群的聚類中心對細胞圖像進行遺傳聚類分割。
  10. The parameter can be adjusted adaptively by incorporating population entropy into the algorithm to provide a quantitative measure of population diversity of individuals in the population and new individuals can be introduced into the population by a big - mutation operation when the individuals in the population tend to be consistent. the case study shows that the algorithm can alleviate the problem of premature convergence as well as improve the efficiency and scope of searching

    本研究將信息嫡引入遺傳演算法以度量種群的多樣性;當判斷其發生過早收斂時，則通過「大變異」操作來引入新個體，從而有效緩解了成熟前收斂的發生，提高了演算法搜索的范圍與效率。
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