群體成熟度 的英文怎麼說

中文拼音 [qúntǐchéngshúdù]
群體成熟度 英文
rate of group maturity
  • 群 : Ⅰ名詞（聚在一起的人或物） crowd; group Ⅱ量詞（用於成群的人或物） group; herd; flock
  • 體 : 體構詞成分。
  • 成 : Ⅰ動詞1 （完成; 成功） accomplish; succeed 2 （成為; 變為） become; turn into 3 （成全） help comp...
  • 熟 : 熟形容詞1 （植物的果實完全長成） ripe 2 （加熱到可以吃的程度） cooked; done 3 （加工製造或鍛煉過...
  • 度 : 度動詞[書面語] （推測; 估計） surmise; estimate
  • 群體 : 1. [生物學] population; colony2. [社會學] group
  1. Considering that the enterprise cannot research the " customer - enterprise " value deeply, on the basis of that, the paper puts forward evaluating system of customer value in the enterprise according to value contribution, applies ahp to analyze weight of the indexes in consultation with marketing management and selling personnel of the enterprise and relevant experts and then exert clustering analysis and sas software to classify the customers according to the current value and potential value, provide the strategies of the customer classification management. in addition, any resource is exiguity, including economical resource. this paper defines economical resource, puts forward the model of optimum distributing resource and utilizes the method of linear regress equation to get result, which to grope for a new method about calculating marketing expenditure

    本文首先界定了客戶和客戶價值的含義，同時闡述了關系營銷中客戶價值的理論以及客戶價值的影響因素，針對目前「客戶?企業」價值的研究還不成熟的研究現狀，以及現實中還沒有定量分析客戶價值大小的方法，本文提出了一套具有可操作性的客戶價值評價的指標體系，對客戶可以進行比較全面的、多角度的評價，同時採用ahp法對這個評價體系中的各指標因子賦以合理的權重，然後運用聚類分析法和sas統計軟體對客戶群進行了科學地細分，在此基礎上幫助企業制定出不同細分客戶群組的營銷策略；除此之外，考慮到目前企業對于營銷資源的合理分配問題還沒有進行過深入地討論，本著企業經營的根本目的是盈利的原則，論文結合經濟學原理以及計量經濟學中的多元線性回歸分析提出了實現利潤最大化的營銷資源配置的優化模型，旨在探索一種銷售費用最優配置的方法。
  2. Feeding in this manner allows animals with superior growth rates to be identified and selected for use in the breeding herd and also ensures that these animals not in a deficit position in terms of meeting their genetically defined target body composition as they approach maturity

    按照這種模式飼喂豬，生長速度的優越性已經得到了確定，可以選擇優秀個體作為種豬群，同樣也確保在它們達到成熟時，不缺乏按照基因型定義的目標體組成。
  3. Its encoding way is also analyzed in this paper. we adopt sa to produce the initial packing, which ensure the parent generations are choiceness. the crossover ( pc ) can prevent the fitness individual to be abandoned, the probability of mutation ( pm ) can prevent the algorithm is convergent before premature

    文中對其編碼方式進行分析，採用模擬退火法產生初始布局，保證了父輩解群的優良性，採用交叉概率pc有效地防止具有高適應度值的個體被排擠掉，變異概率pm防止了搜索在成熟前收斂。
  4. Wearsis dress has been greatly appreciated and welcomed by the metropolitan ladies ever since it has appeared on the market, and has therefore won the highest reputation among the customer ' s community

    Wearsis女裝，自上市以來，一直深受成熟都市女性的喜愛和歡迎，在顧客群體中享有很高的美譽度。
  5. The characteristics of quantum computing and the mechanism of immune evolution are analyzed and discussed. inspired by the mechanism in which immune cell can gradually accomplish affinity maturation during the self - evolution process, a immune evolutionary algorithm based on quantum computing ( mqea ) is proposed. the algorithm can find out optimal solution by the mechanism in which antibody can be clone selected, memory cells can be produced, similar antibodies can be suppressed and immune cell can be expressed as quantum bit ( q - bit ). it not only can maintain quite nicely the population diversity than the classical evolutionary algorithm, but also can help to accelerate the convergence speed and converge to the global optimal solution rapidly. the convergence of the mqea is proved and its superiority is shown by some simulation experiments in this paper

    分析和探討了量子計算的特點及免疫進化機制，並結合免疫系統的動力學模型和免疫細胞在自我進化中的親和度成熟機理，提出了一種基於量子計算的免疫進化演算法.該演算法使用量子比特表達染色體，通過免疫克隆、記憶細胞產生和抗體相似性抑制等進化機制可最終找出最優解，它比傳統的量子進化演算法具有更好的種群多樣性、更快的收斂速度和全局尋優能力.在此不僅從理論上證明了該演算法的收斂，而且通過模擬實驗表明了該演算法的優越性
  6. Abstract : the characteristics of quantum computing and the mechanism of immune evolution are analyzed and discussed. inspired by the mechanism in which immune cell can gradually accomplish affinity maturation during the self - evolution process, a immune evolutionary algorithm based on quantum computing ( mqea ) is proposed. the algorithm can find out optimal solution by the mechanism in which antibody can be clone selected, memory cells can be produced, similar antibodies can be suppressed and immune cell can be expressed as quantum bit ( q - bit ). it not only can maintain quite nicely the population diversity than the classical evolutionary algorithm, but also can help to accelerate the convergence speed and converge to the global optimal solution rapidly. the convergence of the mqea is proved and its superiority is shown by some simulation experiments in this paper

    文摘:分析和探討了量子計算的特點及免疫進化機制，並結合免疫系統的動力學模型和免疫細胞在自我進化中的親和度成熟機理，提出了一種基於量子計算的免疫進化演算法.該演算法使用量子比特表達染色體，通過免疫克隆、記憶細胞產生和抗體相似性抑制等進化機制可最終找出最優解，它比傳統的量子進化演算法具有更好的種群多樣性、更快的收斂速度和全局尋優能力.在此不僅從理論上證明了該演算法的收斂，而且通過模擬實驗表明了該演算法的優越性
  7. 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。
  8. In chapter one, we classify the individuals of predator as belonging to either the immature or the mature and suppose that only mature population feeds on prey and immature population does not feed on prey. it is assumed that the transition rate from immature stage to mature stage depends on the density of immature individuals. we construct a predator - prey system with stage structure

    本文第一章，我們將捕食者種群分為未成年與成年兩個階段，並且假使只有成年個體捕食食餌，而未成年個體不捕食食餌；同時假設捕食種群中未成年個體成熟為成年個體的轉化率是未成年種群密度的函數；建立了具有階段結構的捕食者-食餌模型。
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