現實遺傳力 的英文怎麼說

中文拼音 [xiànshíyízhuànlì]
現實遺傳力 英文
realized heritability
  • 現 : Ⅰ名詞1 （現在; 此刻） present; now; current; existing 2 （現款） cash; ready money Ⅱ副詞（臨時; ...
  • 實 : Ⅰ形容詞1 （內部完全填滿 沒有空隙） solid 2 （真實; 實在） true; real; honest Ⅱ名詞1 （實際; 事實...
  • 遺 : 遺動詞[書面語] （贈與） offer as a gift; make a present of sth : 遺之千金 present sb with a gener...
  • 傳 : 傳名詞1 （解釋經文的著作） commentaries on classics 2 （傳記） biography 3 （敘述歷史故事的作品）...
  • 力 : Ⅰ名1 （力量; 能力） power; strength; ability; capacity 2 [物理學] （改變物體運動狀態的作用） forc...
  • 現實 : 1. （客觀存在的事物） reality; actuality 2. （合乎客觀情況的） real; actual
  • 遺傳 : [生物學] heredity; hereditary; inheritance; inherit
  1. Considering of the differences of task scheduling between a grid and a distributed system, this dissertation designs a real number encoded mode that mapping every task to a random resource directly by improving the encoding mode of the traditional genetic algorithm, and gives a particular design to the encoding and decoding mode. at last, this algorithm is simulated in the grid simulator. the experiment results show that the reformative genetic algorithm not only has a holistic searching ability, but also makes a fast convergent speed, which provides a preferable performance

    本文根據網格計算任務調度的特點，提出了基於改進的遺傳演算法的網格任務調度，通過對傳統遺傳演算法的編碼方式進行改進，針對網格任務調度與一般分散式系統任務調度的不同之處，設計了資源?任務的一一對應的實數編碼方法，詳細設計了其編碼及解碼方式，最後在網格模擬器中進行了模擬，實驗數據證明了改進后的遺傳演算法即具有全局搜索能力，又具有較快的收斂速度，具有較好的性能，該實驗達到了本文以實現任務調度的最優跨度為目標的實驗目的。
  2. Article to college entrance examination chinese current situation of test, combination of thoery and practice, pass with western chinese graduation examination way, contrast of the method, middle school of developed country, the first part put forward college entrance examination chinese have an examination three principle that should follow, namely content and form of test should respect and meet hereditary quality and individual character difference of quality of student ; should work in concert with latest scientific research results ; should regard measuring students " innovation ability as the main purpose

    文章針對高考語文考試的現狀，理論聯系實際，通過與西方發達國家中學語文畢業考試方式、方法的對比，第一部分提出高考語文考試應遵循的三個原則，即考試的內容和形式應尊重和適應學生的遺傳素質和個性品質的差異；應與最新的科學研究成果相呼應，內容應新穎、獨特，能激發人的潛能；應以檢測學生的創新能力為主要目的。
  3. In this paper, the power transformer interior fault diagnosis technique based on the dissolved gas in oil analysis and the principles of genetic algorithm are analyzed. the forecasting models for power transformer interior fault are proposed based on the grey prediction model. the genetic algorithm is applied to estimating optimum coefficients of this forecasting model

    本文對基於變壓器油中溶解氣體分析（ dissolvedgasesanalysis ，簡稱dga ）技術的大型電力變壓器內部故障診斷技術和遺傳演算法原理進行了深入的分析，首次將灰色預測理論引入到大型電力變壓器內部故障預測工作中，運用遺傳演算法實現預測模型的優化，建立了基於遺傳演算法的變壓器內部故障改進灰色預測模型。
  4. Genetic control is critical for maintaining variability and avoidance of inbreeding, ensuring the long - term viability of captive nonhuman primate colonies

    對非人靈長類動物種群實行遺傳學控制，對于維持種群的遺傳多樣性，提高動物長期的生存力和繁殖率，滿足醫學生物學實驗需要具有現實意義。
  5. This study dealt with the identification and evaluation of 8 maize populations from tropical and subtropical regions under the ecological conditions in zhengzhou, henan. results showed that the significant delaying days to shed and days to silk, discoordinating for the development of male and female, higher plant and ear height, more leaf numbers, high barreness, worse performance of ear traits compared with the ck ( temperate population ) were found, which showed the tropical and subtropical populations could not be utilized directly under the ecological conditions in zhengzhou. by using selection and improvement the tropical and subtropical populations can be used to broaden the genetic base of temperate maize breeding, beause of the greater genetic variation and higher selection potential within each population. the different performances of the sensitivity to photoperiod were observed among different tropical and subtropical populations and different traits. the asi, time to silk, ear height, leaf numbers, grain yield per ear could be used as the good evaluation traits for identifying the sensitivity to photoperiod

    對8個熱帶、亞熱帶玉米群體在鄭州生態條件下的表現進行鑒定和評價，結果表明，熱帶、亞熱帶群體散粉、吐絲期顯著延遲，雌雄不協調，植株和穗位高、葉片數增多、空稈率高，結實性差，果穗性狀均明顯劣於溫帶對照，在鄭州生態條件下不能直接利用，但是群體內具有較大的遺傳變異和選擇潛力，可以用來拓寬現有玉米種質的遺傳基礎；不同熱帶、亞熱帶群體的光周期敏感性不同；不同性狀對光周期反應的敏感程度不同， asi 、吐絲期、穗位高、葉片數、穗粒重可作為鑒定光周期敏感性的較好指標
  6. The stress is basing coal - fired boiler inflammation system feature and control demand to design a kind of fuzzy - pi controller on based of genetic algorithm to control it. the controller refers the error and its variety rate as its inputs. and, in order to make the control qualities much better, concerns them as the performance index to optimize the membership function of the fuzzy variables and the pi ' s controller parameter by means of online adjujsting the genetic algorithm, inflammation system steam pressure loop and economic inflammation loop

    重點是針對燃煤鍋爐燃燒系統的特點和控制要求，設計了一種基於遺傳演算法的模糊- pi復合控制器對其進行控制，該控制器以偏差、偏差變化率作為輸入量，通過遺傳演算法在線調整模糊控制器的模糊變量隸屬度函數和pi控制器的參數，從而達到優化模糊控制規則和pi控制器參數的目的，實現燃燒系統的蒸汽壓力迴路和經濟燃燒迴路的控制要求。
  7. On the background of selecting an optimal combination of elastic pads " height between the two adjacent cylinders, which carry out the design requirement of combinative cylinders assembled structure, in this dissertation, the optimal design model is established ground on geometrical and mechanical model of the combinative cylinders assembled structure. the algorithm that integrates multi - objective ' s decision - making method with minimal distance between two points in euclid ' s space into the modified genetic algorithm to solute the optimal model is presented

    本文以選取層間彈性墊層厚度實現組合圓筒裱糊裝配結構的設計要求為研究背景，依據組合圓筒裱糊裝配結構的幾何模型與力學模型，建立組合圓筒裱糊裝配結構的優化模型，提出改進遺傳演算法與歐幾里德空間最短距離準則的多目標決策方法相結合的優化演算法。
  8. The vibration problems in pumped storage hydroplant are outstanding, due to their high - velocity flow, high - speed units, etc. on the base of summarizing the development of inverse analysis methods, this paper proposed a dynamic inverse model for underground hydroplant was built, combining the modal analysis and inverse numerical computation

    點，提出採用實驗模態分析與動力反演分析相結合，以試驗模態與計算模態某種偏差為目標函數，建立通用的結構最優化動力反分析模型。引入改進的遺傳演算法，實現了其與ansys軟體的介面。
  9. The proposed genetic - tabu algorithms, which are based on the parallel search main flame provided by genetic algorithms, integrating biology evolution of genetic algorithms and local search of tabu search which can avoid circuit search, can solve global optimization problems quickly

    本文提出的遺傳禁忌搜索演算法基於遺傳演算法提供的并行搜索主框架，結合遺傳群體進化和禁忌搜索演算法較強的具有避免迂迴搜索能力的鄰域搜索，可以實現快速全局優化。
  10. Through chaos optimization method embedded into the genetic algorithm. the algorithm with the combination the advantages of the genetic algorithm and chaos optimization method which need not the optimal problem function ' s differential and promote the ability of the genetic algorithm ' s locally meticulous search can be obtained with the faster convergence and the greater probability for the global solution. a chaotic sequence is inserted into the search procedure of genetic algorithm, which can overcome premature of the search by genetic algorithm and the speed of convergence is faster than standard genetic algorithm

    對遺傳演算法進行了理論分析，並且研究了遺傳演算法的設計與實現；利用混沌優化方法不依賴于梯度信息的性質，將其與遺傳演算法相結合，提出了一種求解連續不可微函數優化問題的混合遺傳演算法；基於對于符號動力系統的研究，利用混沌序列的遍歷性，將混沌序列引入遺傳演算法中，提出一種嵌入哈爾濱工程大學博土學位論文一混飩序列的遺傳演算法，該演算法有效地克服了標準遺傳演算法中的早熟現象，並且具有更快的收斂速度。 」
  11. Firstly, influence factors of generalization of neural network are presented in this thesis, in order to improve neural network ’ s generalization ability and dynamic knowledge acquirement adaptive ability, a structure auto - adaptive neural network new model based on genetic algorithm is proposed to optimize structure parameter of nn including hidden layer nodes, training epochs, initial weights, and so on ; secondly, through establishing integrating neural network and introducing data fusion technique, the integrality and precision of acquired knowledge is greatly improved. then aiming at the incompleteness and uncertainty problem consisting in the process of knowledge acquirement, knowledge acquirement method based on rough sets is explored to fulfill the rule extraction for intelligent diagnosis expert system, by completing missing value data and eliminating unnecessary attributes, discretization of continuous attribute, reducing redundancy, extracting rules in this thesis. finally, rough sets theory and neural network are combined to form rnn ( rough neural network ) model for acquiring knowledge, in which rough sets theory is employed to carry out some preprocessing and neural network is acted as one role of dynamic knowledge acquirement, and rnn can improve the speed and quality of knowledge acquirement greatly

    本文首先討論了影響神經網路的泛化能力的因素，提出了一種新的結構自適應神經網路學習演算法，在新方法中，採用了遺傳演算法對神經網路的結構參數（隱層節點數、訓練精度、初始權值）進行優化，大大提高了神經網路的泛化能力和知識動態獲取自適應能力;其次，構造集成神經網路，引入數據融合演算法，實現了基於集成神經網路的融合診斷，有效地提高了知識獲取的全面性、完善性及精度;然後，針對知識獲取過程中所存在的不確定性、不完備性等問題，探討了運用粗糙集理論的知識獲取方法，通過缺損數據補齊、連續數據的離散、沖突消除、冗餘信息約簡、知識規則抽取等一系列的演算法實現了智能診斷的知識規則獲取;最後，將粗糙集理論與神經網路相結合，研究了粗糙集-神經網路的知識獲取方法。
  12. Qga combining the genetic algorithm and the quantum information theory has a large search space with small population and a good global search capability, while image sparse decomposition based on mp is an optimal problem, so it can be fast solved by qga

    量子遺傳演算法能用較小的種群規模實現較大的空間搜索，全局尋優能力強，基於匹配追蹤的圖像稀疏分解是最優化問題，因此可用量子遺傳演算法快速實現。
  13. First, based on comprehension analysis of the present study status on optimizing method to displacement back analysis in underground engineering home and abroad, intelligent optimizing method, which fits the features of underground engineering, has been developed by introducing annealing algorithm and genetic algorithm and improving them. second, according to practical features of nonlinear displacement for underground engineering, the mechanical model on back analysis to initial ground stress and mechanical parameters of surrounding rock mass in underground engineering is established, which is based on the measuring results of displacement of convergence in underground holes. while, by introducing finite element method and combining improved annealing algorithm and improved genetic - annealing algorithm, the theory and method of elastic - plastic displacement back analysis to surrounding rock in underground engineering has been founded

    首先，本文在綜合分析國內外地下工程優化位移反分析方法研究現狀的基礎上，引進模擬退火與遺傳演算法，並對其進行改進，建立了適合於地下工程問題特點的智能優化演算法;其次，根據地下工程非線性特點，基於地下工程洞周收斂位移量測結果，建立了用於地下工程初始地應力與圍巖力學參數反演分析的力學模型，並引進有限元分析手段，結合改進模擬退火演算法與改進遺傳-模擬退火演算法，分別建立了基於這兩種智能優化演算法的地下工程圍巖彈塑性位移反分析理論與方法，並開發了相應的分析計算程序，為地下工程圍巖穩定性與開挖順序優化分析奠定了基礎;然後，在上述基礎上，根據地下工程開挖施工順序優化設計的特點，建立了基於圍巖塑性區面積的地下工程開挖施工順序優化分析模型，基於改進模擬退火演算法與改進遺傳-模擬退火演算法建立了地下工程開挖施工順序優化分析方法，並開發了相應的分析計算程序;最後，將上述分析計算程序用於工程實例分析，探討了其應用方法，證明了該文研究成果的合理性和可靠性。
  14. But the mutation found in the turkey viruses is also known to be able to increase the affinity for h5n1 to the 2. 6 receptors, points out sylvie van der werf, head of the laboratory of molecular genetics of respiratory viruses at the pasteur institute in paris, france

    然而，巴斯德研究所（位於法國巴黎）呼吸道病毒分子遺傳學實驗室負責人西爾維?凡?德?沃夫指出：土耳其病毒中發現的變異據悉還能提高h5n1對2 . 6受體的親和力。
  15. According to the characteristics of reactive power planning optimization, a fullyscheme of refined ga was proposed in this thesis

    根據電力系統無功規劃優化問題的特點，提出了改進遺傳演算法的完整實現方案。
  16. Then a new improving scheme of ga which we call it hgsaa ( hybrid gentic - simulatd annealing algorithm ) is put forward based on the existing condition, and the new algorithm works more efficiently than the old one because it has not only ga ' s global searching capability but also saa ' s local searching capability. the simulatio results show the new algorithm is more effective than ga. the minimum cost is reduced and the clustered network structures have been produced with the onus are evenly distributed or clustered around the obds and the clustered network structures are well ordered with a satisfactory degree of symmetry after the hgsaa has runed 100 generation

    吏為重要的是，本文充分利用了混合遺傳演算法的思想，將遺傳演算法和模擬退火演算法的優勢相結合，使得遺傳演算法的全局尋優能力與模擬退火演算法的局部尋優能力在該問題的求解過程中充分發揮了作用，由本文實現的混合遺傳一模擬退火演算法明顯地改進了演算法的效果，由此生成的網路方案的建設費用得到極大減少，同時拓撲結構的優化結果也比單純的遺傳演算法的效果好得多。
  17. In this dissertation, structure and material property of piezoelectric laminated shell, construction of analytical model and finite element model, satisfactory reduction of dynamic model ' s order, satisfactory control of vibration, genetic optimization of sensor / actuator units " disposition, system synthesis method and its software realization, are discussed and some useful conclusions for the application are acquired

    本文圍繞著壓電層合殼的結構與材料特性、解析模型與有限元模型的構造、數值模擬結果的分析、動力學模型的滿意降階、振動的滿意控制、傳感作動單元位置的遺傳演算法優化、系統設計方法及其軟體實現等諸方面的問題進行了研究與探討，並取得了一些可供應用參考的結論。
  18. In the dissertation, the genetic algorithm is employed to combine with fuzzy control to design and implement the autopilot control system. the ga is used to optimize the parameters of fuzzy control system. the following simulations show that the fuzzy autopilot control system optimized by ga has higher control accuracy, better robustness and resistant disturbance capability

    本文引入了遺傳演算法與模糊控制相結合的控制方法實現了潛艇自動舵系統的設計和實現，採用遺傳演算法優化控制參數后模糊控制系統與單一的模糊控制系統分別進行模擬，其結果表明，優化后的控制系統對于外界參數的改變能夠達到控制的目的，提高控制的精度，基於模糊控制和遺傳演算法的自動舵顯示了更好的魯棒性和抗干擾能力。
  19. In this thesis a vision model consist of cellular neural network as feature detector and bp network as classifier is proposed, and experiments are described where genetic algorithm is used to evolve an optimal feature detector in order to aid a classifier to generalize across different conditions. application of cellular neural network to image filtering is also studied

    論文研究了虛擬生物的視覺建模問題，用細胞神經網路cnn來進行視網膜圖象特徵提取，通過遺傳演算法進化cnn模板，實現特徵提取的優化，從而提高了分類器的泛化能力和識別效果，為生成基於視覺的自適應行為提出了一個新的方法。
  20. A method of finding the best location in multi - dimensional space of particles is presented to achieve the optimal decision of multi - stage operation, the global convergence performance of pso is improved by importing a cross operator of ga and using a self - adapting inertia

    提出以確定微粒群在多維空間中的最優位置來實現多階段優化調度決策的方法，並針對演算法易陷入局部最優的缺陷，引入遺傳演算法中的「雜交」因子以及採用自適應的慣性權重，以改進其全局優化能力。
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