群體多樣性 的英文怎麼說

中文拼音 [qúntǐduōyàngxìng]
群體多樣性 英文
population diversity
  • 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。
  • 樣 : Ⅰ名詞1. （形狀） appearance; shape 2. （樣品） sample; model; pattern Ⅱ量詞（表示事物的種類） kind; type
  • 性 : Ⅰ名詞1 （性格） nature; character; disposition 2 （性能; 性質） property; quality 3 （性別） sex ...
  • 群體 : 1. [生物學] population; colony2. [社會學] group
  1. They are jinfo mountain in nanchuan county ( natural protection section ), wuling mountain in qianjiang county ( national emphases forest demonstration county which forest cover rate is beyond 50 % ) and zhongliang mountain in beibei county ( artificial destruction is very grave ). some main land use patterns i. e. woodland, garden, infield, abandon infield, shrub and grassplot are selected in those three sample sites. four aspects on soil fertility index of karst environment under different land use patterns in these three sample sites, are revealed in this paper, by using the field test, indoor measure and analysis, outdoor experiment and field investigation, and the knowledge and technique of soil, ecology, physics and chemistry etc. they are physical characteristic ( effective soil thickness, organic layer thickness, soil texture, water - stable aggregate and soil water etc. ), chemical fertility ( organism, omni - n, omni - p, omni - k, alkali - nitrogen, available p, available k and rapid available k etc. ), soil animalcule ( bacteria, fungi, actinomyces and their grosses ) and soil - seed - pool ( plant community diversity index ) in karst ecosystem

    本研究以重慶市的南川金佛山（自然保護區） 、黔江武陵山（國家重點退耕還林示範縣，森林覆蓋率50以上）和北碚中梁山（遭人為破壞嚴重）典型巖溶區為對象，選擇了幾種重要的利用方式，包括林地、果園、耕地、棄耕地和灌草坡，採用野外巖溶生態調查和室內試驗測量分析相結合的方法，以不同土地利用方式巖溶土壤肥力為重點，對不同土地利用方式土壤肥力特徵進行量化分析，找出巖溶土壤肥力差異的主要方面及其根本原因，論文主要從土壤剖面物理退化指標（有效土層厚度、有機質層厚度、質地、團聚體、水分含量等） ，化學肥力退化指標（有機質、全n 、全p 、全k 、堿解n 、速效p和速效k等） ，樣地土壤微生物指標（細菌、真菌、放線菌數量及總量）以及樣地土壤種子庫植物群落多樣性等4個方面對重慶典型巖溶區的土壤肥力特徵進行了較為詳細的分析研究，為巖溶地區士壤資源的合理利用及結構的調控管理提供依據。
  2. Thirdly, resorting to cooperation - competition model of biomathematics, this thesis proposes a new co - evolution model. simulation results are shown to verify its effect and practicabilitv. last, standard methods for optimizing neural netvvorks are easily trapped into local optimization, and unable to adjust the structure of neural networks, thus their application is limited to certain extent

    本文主要驗證和設計適應性操作運算元和小生境方法保持群體多樣性的能力，實驗表明兩種方法都能較好地達到目的；利用生物合作競爭模型設計協同演化來動態地改變群體規模，實驗表明該模型是有效的；人工神經網路是得到越來越廣泛應用的學習系統，但是由於學習演算法存在一定的缺陷，如易於陷入局部極值，難以調整網路的結構等，使神經網路的應用受到一定的限制。
  3. Real estate market characteristic becoming varied, experience of brain trust " can not solve market variety and problem of complexity totally. this force enterprise policymaker seek for rational, specialized scrupulous, scientific method come and discern to its huge colony

    房地產市場多元化特徵日趨明顯， 「智囊團」的經驗已不能夠完全解決市場多樣性和復雜性的問題，這便迫使企業決策者尋求更為理性、專業、嚴謹、科學的方法來對其龐大的群體進行識別。
  4. In fact, the nature of social construct of value, the value involvement in policy process, the diversity of value orientations among policy subjects and targeted groups, and the limits of policy capacity define the nature of policy as : the process and results of contestation and compromise of various value orientations in society

    事實上，價值的社會建構性、決策過程的價值涉入、政策主體和目標群體價值趨向的多樣性以及政策本身能量的有限性決定了政策的本質是：社會各種價值取向沖突與妥協的過程和結果。
  5. As an important part of the morph - functional research of animals, the diversity of hair micro - structure is of significance for the discovery of species adaptation and evolution. hair structural diversity provides parameters to interpret the divergent adaptation and evolution tendency in different ecocommunities. physical principles introduced probed into the interpretation of the mechanism that the hair microstructure forms and the relatedness between structure and function, animal behavior and ecology

    毛發微觀結構多樣性研究作為動物形態與功能多樣性研究的內容之一，對揭示毛的形態結構與功能多樣性在物種生存和適應中的意義，具有積極作用；同時作為生態形態學的研究內容，對解釋不同生態類群中的動物體形態結構的適應和進化趨勢以及所表現出的趨同、趨異現象也將發揮重要作用；在結構形態學研究方面，應用物理學原理解釋毛的微觀結構形成的過程以及結構與功能、行為、生態的關系也很重要。
  6. On the basis of former work, author presents a fga based on the diversity measure. in order to keep the dynamic balance between eer, t ' uz / y logic controller ( flc ) was used to adjust ga ' s important parameters dynamicly

    本文在前人研究的基礎上，基於群體多樣性測度設計了一個模糊遺傳演算法，利用模糊邏輯控制器來動態調整遺傳演算法中的重要參數，保持遺傳演算法eer的動態平衡。
  7. The theoretical analysis shows that any human activities, responsible for the changes of rock, air, water, soil and biology inside or outside the caves, will influence inevitably cave animals in terms of such levels as molecule, cell organelle, cell, tissue, organ, system, individual, population, society and ecosystem. these effects can be observed on cave animal ' s shape - building, activity, tissue structure, metabolism, space - time distribution, biothythm, structure of population and society, food chain, bio - relation, diversity of population and society, and function of the above - mentioned levels

    理論分析表明，凡是能夠引起地表和洞穴巖石、空氣、水、土壤、生物等變化的一切人類活動都不可避免地使洞穴動物在分子、細胞器、細胞、組織、器官、系統、個體、種群、群落和生態系統各級層次上產生效應，這些效應具體表現在影響洞穴動物形態建成、行為、組織結構、新陳代謝、時空分佈、生物節律、種群和群落結構、食物鏈結構、生物關系、種群和群落多樣性以及各層次所表現的功能的多少、快慢、強弱等方面。
  8. In ciefcm, a tiny disturbance was added to filial generation group by using chaos variable and the disturbance amplitude was adjusted step by step, which greatly improves the colony diversity of immune evolution algorithm ( tea )

    該演算法把混沌變量加載于免疫演算法的變量群體中，利用混沌搜索的特點對群體進行微小擾動並逐步調整擾動幅度，明顯改善了免疫演算法的群體多樣性。
  9. Then, two methods are applied to keep the diversified variety of colony : reserve two special units in new population and increase the mutation factor

    針對遺傳演算法的群體多樣性過低的缺點。提出了兩種改進方法，使得群體始終充滿多樣性。
  10. This dissertation defines two parameters based on the diversity measure as the input of the flc which is used to control the ga ' s crossover probability and mutation probability

    本文從群體多樣性的角度出發，定義了兩個參數作為模糊邏輯控制器的輸入變量，輸出為遺傳演算法的交叉概率和變異概率。
  11. Simulation results on six difficult optimization problems show that the multi - objective genetic algorithm based on sorting and clustering have ideal effects on the aspects of its speed and diversify

    比較試驗結果表明，基於分類和聚類的多目標遺傳演算法，在運行效率與保持群體多樣性等方面取得了較好效果。
  12. A modified genetic algorithm is proposed. in the dissertation a different fitness function is constructed and similarity is introduced, which can increase variety of population md avoid prematurity

    這樣可以增加群體多樣性，在一定程度上避免早熟現象發生；然後利用改進遺傳演算法對圖像進行了分割計算，將目標與背景分割開來。
  13. The theory analysis and experimental results show that the algorithm not only effectively keeps population diversity, but also alleviates the undulate phenomenon in evolutionary latter stages meanwhile increases the convergent speed greatly

    理論分析和模擬結果表明，該演算法不僅能夠有效地保持群體多樣性，而且減輕了遺傳演算法的後期波動現象，同時收斂速度明顯提高。
  14. Based on the global stochastic searching method of classic genetic algorithm ( ga ), and using the diversity preservation strategy of antibodies in biology immunity mechanism, the method greatly improves the colony diversity of ga and has better global searching capability

    該演算法在傳統遺傳演算法全局隨機搜索的基礎上，借鑒了生物免疫機制中抗體的多樣性保持策略，改善了遺傳演算法的群體多樣性，具有更好的全局搜索能力。
  15. After a short - term load forecasting method based analogous and linear extrapolation is proposed, the load forecast and the priority of equipment action are led into static reactive power optimization. the aim function is constructed for the practical situation of power system. on the basis of traditional genetic algorithm the fitness function and the holding of population diversity are improved

    在提出基於相似日和線性外推的短期負荷預測新方法的基礎上，將負荷預測和設備動作優先級引入靜態無功優化中，並結合電網實際情況，構造了實用的目標函數，對遺傳演算法的適應度函數和群體多樣性的保持進行了改進，採用鄰域搜索運算元增加遺傳演算法的局部尋優能力。
  16. With self - regulation of antibodies, iga greatly improves the diversity of antibodies, achieves a good dynamic balance between individual diversity and population global convergence, and avoids getting into the local optimal solution

    免疫遺傳演算法通過抗體之間的相互激勵作用大大提高抗體的多樣性，動態調整群體收斂性和種群的多樣性之間的平衡，有良好的全局收斂能力和收斂速度。
  17. The effective ways to overcome such problems are to maintain the population diversity and enhance exploitation of local search domains

    相應的解決策略是：維持種群個體多樣性和增強對局部領域的搜索開采能力。
  18. In order to maintain the population diversity, the algorithm retains the individuals which have better fitness and farther away from the sets of the selected individuals, and uses the parameters of clustering to reduce computation cost

    為了保持種群的多樣性，演算法保留那些具有較好適應值並且與所選的最優個體集合較遠的個體，並利用聚類的參數來減少計算量。
  19. 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。
  20. This dissertation proposes a new and effective optimization - - immune genetic algorithm ( iga ) on the analysis of the drawbacks of traditional ga ' s and developing the useful and discarding the useless of existing immune theories. this dissertation aims to make the designed algorithm resolve the contradiction of local search capability and global search capability effectively and keep the population diversity during the evolving progress so as to remedy the demerits of traditional ga ' s

    本文在分析了傳統遺傳演算法的缺陷機理和揚棄了已有免疫理論的基礎上，提出了一種新型有效的優化演算法? ?免疫遺傳演算法（ immunegeneticalgorithm ， iga ） ，旨在通過對生物體實際免疫行為的模擬，使設計的優化演算法能夠有效解決全局搜索能力和局部搜索能力的矛盾、維持演化過程中種群的多樣性，從而彌補傳統遺傳演算法的缺陷。
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