遺傳解析力 的英文怎麼說

中文拼音 [yízhuànjiěxīlì]
遺傳解析力 英文
genetic resolution power
  • 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）...
  • 解 : 解動詞（解送） send under guard
  • 析 : Ⅰ動詞1. （分開; 散開） divide; separate 2. （分析） analyse; dissect; resolve Ⅱ名詞（姓氏） a surname
  • 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...
  • 遺傳 : [生物學] heredity; hereditary; inheritance; inherit
  • 解析 : analysis; resolution; analyzing; resolving解析幾何 [數學] analytic geometry; cartesian geometry; ...
  1. In the present study, aflp ( amplified fragment length polymorphism ) markers was used to examine population of abies yuanbaoshanensis in order to understand the level of population genetic variation and genetic structure. the result would help to evaluate its evolutionary potentiality and the degree of being endangered and could provide scientific basis for making right protection strategy. high - quality dna was extracted using ctab method from those tender leaves of forty - three fully - developed trees in population abies yuanbaoshanensis

    本研究選用一種高效的檢測遺傳變異的分子標記? ? aflp技術來分析元寶山冷杉種群的遺傳多樣性，旨在了解該種群在分佈區內的遺傳變異水平和遺傳結構情況；研究結果將有助於更清楚地認識這一瀕危類群的生存潛力和瀕危程度，而且可以為制定何種挽救和保護措施提供科學的依據。
  2. In this text, we first do some research on the genetic algorithm about clustering, discuss about the way of coding and the construction of fitness function, analyze the influence that different genetic manipulation do to the effect of cluster algorithm. then analyze and research on the way that select the initial value in the k - means algorithm, we propose a mix clustering algorithm to improve the k - means algorithm by using genetic algorithm. first we use k - learning genetic algorithm to identify the number of the clusters, then use the clustering result of the genetic clustering algorithm as the initial cluster center of k - means clustering. these two steps are finished based on small database which equably sampling from the whole database, now we have known the number of the clusters and initial cluster center, finally we use k - means algorithm to finish the clustering on the whole database. because genetic algorithm search for the best solution by simulating the process of evolution, the most distinct trait of the algorithm is connotative parallelism and the ability to take advantage of the global information, so the algorithm take on strong steadiness, avoid getting into the local

    本文首先對聚類分析的遺傳演算法進行了研究，討論了聚類問題的編碼方式和適應度函數的構造方案與計算方法，分析了不同遺傳操作對聚類演算法的性能和聚類效果的影響意義。然後對k - means演算法中初值的選取方法進行了分析和研究，提出了一種基於遺傳演算法的k - means聚類改進（混合聚類演算法） ，在基於均勻采樣的小樣本集上用k值學習遺傳演算法確定聚類數k ，用遺傳聚類演算法的聚類結果作為k - means聚類的初始聚類中心，最後在已知初始聚類數和初始聚類中心的情況下用k - means演算法對完整數據集進行聚類。由於遺傳演算法是一種通過模擬自然進化過程搜索最優解的方法，其顯著特點是隱含并行性和對全局信息的有效利用的能力，所以新的改進演算法具有較強的穩健性，可避免陷入局部最優，大大提高聚類效果。
  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. The article intend to analysis the precess, character and motivion of development in traditional street space in which contain abundant cultural heritage. through investigation the writer should analysis the characte r, form and the relationship with each other, and furthermore find the pattern of the space in the fulture. what the most important is to summarize the spitits in traditional street space, such as activition, fuction, cultural elements, social customs and quatity of space. in order to put these elements to the exploit of new street space and find how these elements should be used, the writer regards some streets as the examples such as wenming street in kunming, xinhua street in lijiang jianshe rode in luxi. through research the writer find problems which exist in not only traditional but also in new street and express individual viewpoint about how to solve the problems. there are several ways to keep the new street exploition success. in the first place, we shoule know about all kinds of influences and synthesized elements. secondly mastering the mechanism of the development by oneself is indispensable. in the last place, it is necessory not to imitate some certain model which is plausible in other place. in the l ast of the article, the writer uses a new project to further illustrate the way to put the theory what have mentioned above into the practice

    並從自然，社會，經濟及社會文化方面分析產生的根源，發展動力，其次通過實際調查，對現有傳統商住的物質形態要素進行分析，從商空間及住空間的基本特徵，型制入手，探索傳統商住街區的空間形態，結構組成，商與住空間關系，空間性質及空間如何相互轉化。以此來尋找傳統商住街區物質形態特徵，同時結合具體實例強調在傳統商住街區改造、新區的規劃設計中應當重視非物質要素內涵的提取、如活動者及社會結構、功能意義、空間品質、文化氣息，保持歷史傳統的延續性的必要性與可行性。在文章的後半部分，有針對性的對遺留下來的傳統商住街區-昆明文明街、麗江新華街、瀘西建設路的物質形態特徵和非物質形態特徵的分析，找出現存的問題，並針對問題發表個人的觀點，指出引導現代商住街區的開發與改造中，保持形態合理發展的正確途徑是了解影響形態發展與演變的各種因素及其綜合作用，把握好形態演交的內在機制，而不應刻意追求某種特定的模式。
  5. The research contents can be outlined as bellow : ( 1 ) it has analyzed the basic principle and characteristics of ga and investigated the ga coding strategy and its operators in detail

    論文主要研究工作和取得成果如下: 1 .研究遺傳演算法的基本原理及其優缺點，了解其廣泛的應用領域，特別是在電力系統的應用情況，並且詳細地分析了遺傳演算法的編碼策略與操作運算元。
  6. According to an analysis of the current various optimum methods, a new mixed type of genetic algorithm are proposed, which overcomes some typical limitations such as the decrease of hunting efficiency lack of hunting competence near the optimal solution. with a model for optimum design setup, the system brwcad are worked out with the advanced language visual basic6. 0 and the object - oriented technique

    此外，針對衡重式擋土墻常規設計存在的弊病，指出其優化設計的必要性與重要性，並在比較分析已有優化方法優缺點的基礎上，引入並提出了一種新型混合遺傳演算法進行優化設計，解決了臨近最優解搜索效率降低、搜索能力不足等缺陷。
  7. 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。 」
  8. ( 4 ) because calculation of stress intensity factors using the finite element method of the linear elastic fracture mechanics cannot satisfy the need for the real - time monitoring and the real - time analysis of cracks in concrete dams, a four - layer neural network optimized by genetic algorithm and chaos optimization algorithm is proposed. the example shows that the optimized neural network can yield good results

    （ 4 ）用斷裂力學有限元計算應力強度因子不能滿足對混凝土壩裂縫實時監測、實時分析中的要求，提出了利用遺傳演算法和混沌優化演算法改進的四層神經網路的解決方法，實例分析表明，本文提出的四層優化神經網路計算的應力強度因子接近於用斷裂力學有限元計算的應力強度因子。
  9. So it is appears important to analyse capability of this structure, the people can compute all kinds of complex structure ’ s response under different sorts of exact load on current software, but the source program of the computing question, which is “ black box ”, on the contrary, fepg can get the source program, which can provide preference for the optimization of structure, even embed in the optimizing program and save much time of compiling program, linking to ga to identify the load can get the good result. so the problem is solved to alleviate the deadweight and the optimize design of the structure, as well as improve its secure capability

    對格柵結構進行力學分析就顯得至關重要，盡管利用通用有限元軟體能夠計算結構承受任意可以準確描述的載荷作用下的響應問題，但內部計算卻是「黑箱」操作，利用fepg可以得到計算源代碼，能夠為優化程序提供參考甚至可以嵌入其中，節省繁瑣的有限元計算編程內容，結合遺傳演算法進行載荷重構，往往會收到很好的效果，這就解決了由於工作環境比較復雜，引起響應的載荷難以直接測量得到的難題，從而為結構優化設計和提高安全性能的提供了保障。
  10. The achievement of the students who had definite reading aim was better than that of those who had not ; 2 the students " comprehension monitoring ability in reading between grade 7 and grade 8 developed rapidly. however, when it came to grade 8 - 9, whether the trend of development would continue or not, it would depend on the reading conditions ; 3 be viewed from all aspects, there was always a close and inherent relation between junior middle school students " comprehension monitoring in reading and reading comprehension ; 4 be viewed from the plan before reading or the monitoring in reading or the evaluation after reading, the junior middle school students " comprehension monitoring ability in reading had reached a certain extent ; 5 bad reading habits, lack of necessary reading skills and relevant background knowledge, and indefinite reading aim, all of them could be the reasons that the student could n ' t remember what they were reading ( failing to monitor what they were reading ) ; 6 in order to improve the junior middle school students " comprehension monitoring ability in reading, some measures such as helping them form good reading habits, teaching them some necessary reading skills, and training them to good self - reading awareness, could be made ; 7 there were some ways could be used by teachers to improve the students " comprehension monitoring ability in reading

    有明確閱讀目的的要比沒有明確閱讀目的的要好； 2 、學生的閱讀理解監控能力從初一到初二有一個明顯的發展過程，而從初二到初三，則依閱讀條件的不同而有所差異； 3 、無論是從總體還是從局部進行分析，初中生的閱讀理解監控能力與閱讀理解之間有著緊密的內在關系； 4 、無論是從閱讀前的計劃性，還是閱讀中的監控性，以及閱讀（后）的評價性來看，初中生都已具備一定的閱讀理解監控能力； 5 、造成閱讀遺忘現象（理解監控失敗）的原因，主要有：沒有良好的閱讀習慣；缺乏必要的閱讀技巧；缺乏必要的背景知識及缺乏明確的閱讀目的； 6 、要提高學生的理解監控能力，可以從培養他們良好閱讀習慣，傳授必要閱讀策略和培養他們自主閱讀意識等方面著手； 7 、教師可以通過多種方式來幫助學生提高他們的理解監控能力。
  11. Study on genetic algorithms of hydraulic analysis and optimum design for micro - irrigation laterals

    微灌毛管水力解析及優化設計的遺傳演算法研究
  12. According to the rules and considerations which are based and taken into account in the practical work, this paper proposes a new model for distribution maintenance scheduling which intends to find the most economical maintenance schedule without violating any restrictions and also the paper makes a deep research of ga, sa and ts. by constructing two effective instructive rules which derive from the feature of distribution maintenance schedule and introducing ts into mutation operation of ga in the earlier generations, the proposed method improves the convergence of optimization and shortens the calculation time. the proposed model and method are applied to a practical system, and numerical results verify ' the correctness and validity of them

    本文結合實際電力調度計劃工作中檢修計劃的制定原則和所要考慮的各種因素，抽象出適合配電網檢修計劃優化的數學模型：對遺傳演算法、模擬退火演算法以及禁忌搜索演算法等多種演算法進行了研究和分析比較，針對遺傳演算法的不足提出了通過對實際問題的分析抽象出一定規則指導演算法在解空間進行搜索和兩階段變異運算元兩項改進措施，並應用於配電網檢修計劃優化，編制了相應的應用軟體；應用該軟體對我國南方某地區供電局某月的檢修計劃進行優化的結果表明，本文所提出的模型和改進的優化方法是正確和有效的。
  13. 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。
  14. 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。
  15. By using visual c + + language, a computer program gaoff has been developed to optimize the parameters of friction energy dissipation braces based on genetic algorithm

    本文建議利用遺傳演算法求解該優化問題，並編制了基於遺傳演算法的摩擦耗能框架結構彈塑性動力優化分析程序gaoff 。
  16. Applying the put forward model and the all - around classic genetic algorithm into the daqing medium - low level voltage distribution network to optimize the real power network, find classic project of reactive power equipment deploy. at the same time, analyze the ecnomic effect. the result shows that the put forward model and the all - around classic genetic algorithm has a lot of virtue, such as strong applicability, handy calculation, good ability of finding the best, easy spreading and applying into real power syatem short term load forecasting, and so on

    5 ）研究分析結果表明：論文提出的城市配電網無功優化補償數學模型和全局最優遺傳演算法較全面、有效地解決了城市配電網無功優化補償的問題，具有適用范圍廣、尋優能力強、計算簡便、綜合效益好等優點，為全局最優無功優化補償提供了新的、科學的方法，易於在實際電網無功優化補償中推廣應用。
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