sequence entropy 中文意思是什麼
sequence entropy
解釋
序列熵-
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。 -
It ' s a pity that although there are many papers and articles focused on data mining published every year, most of them deal with data mining concept and abstract algorithm theory, it is hardly to see their real implementation and application, in this context, when i was in my graduate exercitation in a company in beijing, which focus on developing supermarket software, i joined and completed an olap ( online analytical processing ) project, merchandise analysis and sale report system, which based on microsoft analysis service and microsoft sql server. i also design and implement three important algorithms : merchandise association rule algorithm based on multi - level merchandise category, supermarket member customer shopping frequent sequence generating algorithm, customer classification ( decision tree ) algorithm which based on information entropy and conditional probability tree, and they all achieve expected result
本文作者在實習期間，參與並完成了基於微軟分析服務器的銷售分析與報表系統；並在公司即將開始的數據挖掘項目中，完成了多個重要演算法的設計和c + +程序實現：基於多層分類商品樹的商品關聯規則演算法，會員顧客的購物頻繁序列模式產生演算法；基於信息熵理論和條件概率樹的會員顧客分類（決策樹）演算法，並分別使用數據進行了測試，取得了較好的結果。 -
In this paper it is proved that there are no scramble sets with nonzero invariant probability measure and especially there are no sequence - distribution - scramble sets with nonzero invariant probability measure in the minimal mappings of a compace metric space and interval mappings with zero topological entropy
摘要證明緊度量空間的極小映射以及拓撲熵為零的區間映射不存在具有非零不變概率測度的混沌子集，特別不存在具有非零不變概率測度的序列分佈混沌子集。 -
This paper introduces an evaluation for assembly sequence of the products based on information entropy ( ie ), and specifies the evaluation criteria of the best sequence
在定性分析認的基礎上，用信息熵對裝配次序進行量化評估，並提出了多標準綜合評價函數來選擇最優裝配次序。 -
Application of fuzzy entropy to the evaluation of the environment optimal sequence
熵在環境優序評價中的應用
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