統計遺傳學 的英文怎麼說

中文拼音 [tǒngjìyízhuànxué]
統計遺傳學 英文
statistical genetics
  • 統 : Ⅰ名詞1 （事物間連續的關系） interconnected system 2 （衣服等的筒狀部分） any tube shaped part of ...
  • 計 : Ⅰ動詞1 （計算） count; compute; calculate; number 2 （設想; 打算） plan; plot Ⅱ名詞1 （測量或計算...
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  • 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）...
  • 學 : Ⅰ動詞1 （學習） study; learn 2 （模仿） imitate; mimic Ⅱ名詞1 （學問） learning; knowledge 2 （學...
  • 統計 : 1 （對有關數據的搜集、整理、計算和分析） statistics; census; numerical statement; vital statistic...
  • 遺傳學 : genetics; hereditism遺傳學家 geneticist
  • 遺傳 : [生物學] heredity; hereditary; inheritance; inherit
  1. The results showed as follows : ( 1 ) 6 traits are correlative with genomic factors according to analysis of population genetics and comparison of the coherence of twins. ( 2 ) the hereditary mode of rolling tongue or pointed tongue was the dominant heredity of single gene of autosome, and the can - rolling type or can - pointed type was the dominant character

    本文首次從群體遺傳學、家系分析、典型系譜分析及雙生子分析多個角度並結合多種相關數理統計方法，對6項人類學特徵的遺傳方式進行了探討，初步確定了各項特徵的遺傳方式，評價了各特徵的遺傳與環境的相對重要性。
  2. Seventeen important morphological characters were analysed to identify and evaluate genetic diversity of morphology of the lespedeza populations. fourteen vital morphological characters were studied using basic statistics, correlation analysis, factor analysis and cluster analysis. zymograms were analysed using eighteen alleles of seven allozymes

    對14個關健形態學性狀指標的平均值、方差、標準差、變異系數等基本統計分析表明，胡枝子屬植物不同種間以及種內居群間在這14個重要形態學性狀上的遺傳差異較大，變異系數達28 . 89 122 . 36 （全生育天數除外，變異系數為4 . 72 ） 。
  3. Mendelian genetics, genetic mapping techniques, and statistical analysis of large populations and their application to particular studies in behavioral genetics

    孟德爾遺傳學，遺傳定位技術，和大母群的統計分析及其在行為遺傳學中特定研究之應用。
  4. Heredity modes of 6 traits were studied by analysis of population genetics, by the method of family combination analysis, by the methods of proband ' s sib analysis, segregation analysis, the threshold model of polygenes, and analysis of typical family trees, according to the data of the 72 families. the relative importance between genetic and environmental effect on each character was evaluated by comparing the coherence of twins. gene frequencies of 5 genetic characters, calculated from han group in huhhot, were compared with other groups by u - test so as to study the population or nationality difference in heredity

    採用群體遺傳學分析、家系組合分析法、先證者同胞法、分離分析法及多基因閾值模式分析方法對所得家系資料進行了統計學分析，結合家繫系譜分析探討了上述6項特徵的遺傳方式；通過雙生子一致率的比較，對上述特徵的遺傳與環境效應的相對重要性進行了評價；計算了呼和浩特市漢族群體5對遺傳性狀的基因頻率，採用u檢驗方法與相關文獻報道的其他群體進行了比較，探討了不同種族間或民族間的遺傳差異性。
  5. Phylogeny analysis is performed with phylip software package and encoding sequence of bdnf gene. the phylogeny trees have been drawn with three different methods ( maximum parsimony method, genetic distance method and maximum likelihood method ), respectively. the analysis outcomes are not all consistent for the reason that it is closely related to the selected methods and the conservative level of the sequences

    採用不同的統計學分析方法，最大簡約法（ maximumparsimonymethod ） 、最大似然法（ maximumlikelihoodmethod ）和遺傳距離法（ geneticdistancemethod ） ，得到了物種系統發育進化樹，但拓撲結構並不完全一致，這是可能是因為分子系統學研究與採用的分析方法和所選基因的保守程度即作為分子標記的可信度密切相關。
  6. But the population genetic that based on the statistic model ca n ' t explain the entropy change disciplinarian in the process of evolution, and the genetic diversity index system not enough prefect

    但目前建立在統計學基礎上的群體遺傳學尚未闡述清楚進化過程群體的熵變規律，而且遺傳多態性分析的指標體系不夠完善，因而必須用信息論方法科學描述和豐富遺傳多樣性的指標體系。
  7. It is very important to estimate the basic parameters in helicopter preliminary design. neural network ( nn ) has the advantages in estimating accuracy and generalization over traditional methods. however, there are some difficulties in using nn, e. g., how to select a proper network structure and the number of hidden layers. in this paper, structure and connection weight of a three - layer nn are optimized by genetic algorithm, and the optimized network is applied to helicopter sizing. the proposed method can not only give an optimal nn structure and connection weight, but also reduce the prediction error and has the capability of self - learning when the latest data are available. furthermore, this method can be easily applied to helicopter design systems

    在直升機初步設計階段估算其基本參數是很重要的.神經網路的通用性和精度比傳統的估算方法有更多的優勢，但是在應用神經網路時存在如何選擇合適的網路結構和隱層節點數目等一些困難.應用遺傳演算法優化三層神經網路結構和連接權重，並將優化得到的網路應用於直升機參數選擇中.該方法不但可以給出一個最優的神經網路結構和連接權重，而且降低了估算誤差，具有及時應用最新數據學習的能力.此外，該方法易於在直升機設計系統中得到應用
  8. In the algorithm level, currently various training algorithms of neural networks, including gradient algorithms, intelligent learning algorithms and hybrid algorithms, are comparatively studied ; the optimization principle of bp algorithm for neural networks training is analyzed in detail, and the reasons for serious disadvantages of bp algorithms are found out, moreover, the optimization principle of two kinds of improved bp algorithms is described in a uniform theoretic framework ; and the global optimization algorithms of neural networks, mainly genetic algorithm are expounded in detail, it follows that a improved genetic algorithm is proposed ; finally the training performances of various algorithms are compared based on a simulation experiment on a benchmark problem of neural network learning, furthermore, a viewpoint that genetic algorithm is subject to " curse of dimension " is proposed

    在演算法層，本文對目前用於神經網路訓練的各種演算法，包括梯度演算法、智能學習演算法和混合學習演算法進行了比較研究；對用於神經網路訓練的bp演算法的優化原理進行了詳細的理論分析，找到了bp演算法存在嚴重缺陷的原因，並對其兩類改進演算法-啟發式演算法和二次梯度演算法的優化原理，在統一的框架之下進行了詳盡的理論描述；對神經網路全局優化演算法主要是遺傳演算法進行了詳細的闡述，並在此基礎上，設計了一種性能改進的遺傳演算法；最後基於神經網路學習的benchmark問題對各種演算法在網路訓練中的應用性能進行了模擬研究，並提出了遺傳演算法受困於「維數災難」的觀點。
  9. A niched - penalty approach is used to transform this optimal kinematical design problem to an unconstrained one. a kinematic accuracy comparison of the genetic designed fine - tuning stewart platform with the quasi - newtonian designed one is made. the comparison results have shown that the kinematic accuracy of the genetic designed fine - tuning stewart platform has a much higher accuracy and a compact structure than that of the quasi - newtonian designed one, which guarantees the accomplishment of high precision trajectory tracking and reduces the disturbance of wind to the feed - supporting system

    以並聯機器人jacobian矩陣的條件數為優化設計的目標函數，提出了基於遺傳演算法的並聯機器人最優運動學性能結構參數優化設計方法，採用實值遺傳演算法，對精調stewart平臺進行了優化設計，得到了最優運動學的精調stewart平臺結構參數，為實現新一代大射電望遠鏡饋源指向跟蹤系統高精度軌跡跟蹤控制奠定了堅實的基礎。
  10. Finally, jinduicheng mo. company open - pit is quoted as an instance for building mine transportation vechile scheduling system model, and according to the model, adopt genetic algorithm to study the optimization of mine transportation vechile scheduling system. a rational project is given to this problem, the paper also analysized the optimial design of mine transortation vechile scheduling, the model offering in this paper, convergence of optimal algorithm and data bank management, and transportation project of minerals and disposals is optimized, which realize the decision of transportation project and data visibilization, and wich improves the science and information process of transportation department management

    最後，論文以金堆城鉬業公司露天礦為例建立礦山運輸車輛優化調度模型，結合所建立的礦山車輛優化調度模型，採用遺傳演算法對礦山運輸車輛系統進行優化研究，為其提供合理的體系方案。並對礦山車輛優化調度系統設計進行了詳細分析，提出的礦山車輛優化調度系統，集優化演算法與數據庫管理分析於一體，進行礦巖運輸方案的優化，實現調度方案決策的可視化、運行數據的可視化，促進運輸部門管理的科學化、信息化進程。
  11. The resultes showes that : the utilization of information model on population genetics not only has good uniformity with statistical method, but also has the informatical significance

    結果表明，應用信息論模型研究群體遺傳學與統計學方法具有一致性，而且還具有信息學含義。
  12. Based on optimization theories of genetic algorithms and the linear programming, a series of optimal design mathematics models and methods of water transmission conduits and water distribution networks have been presented, in the light of their characteristics. the results are as follows : 1 the linear programming models and calculations of the pressure gravity conduit, the gravity pressure conduit and channel, the pressure conduit with pump station and the pressure conduit in considering pump station flow variations are presented respectively

    本文針對不同類型的輸水管線和配水管網系統的特點，應用遺傳演算法和線性規劃等優化設計理論和方法，對其優化設計問題進行了較為系統的研究，成果如下： 1分別建立了重力輸水管道系統、重力輸水管渠系統、泵站加壓輸水管道系統以及考慮流量變化的泵站加壓輸水管道系統優化設計的線性規劃數學模型，並提出了計算方法。
  13. Involve in the screening and identification of susceptibility genes by using a large - scale case - control study and association method, functional investigation will be also carried on focused on the genes with significant implification

    基於大規模病例對照研究和關聯研究，利用人類單體型計劃和環境基因組計劃的最新研究成果，使用新型遺傳統計學分析軟體，進行鼻咽癌易感基因的篩選，研究環境遺傳在鼻咽癌發病中的交互作用，對篩選到的基因進行相關功能學研究。
  14. In order to overcome these faults, we designed a new hybrid genetic algorithm - - simultaneous evolution genetic algorithm ( sega ). this sega is different from traditional ga in evolution manner, and then we use markov modeling to analysis our sega

    為了克服這些缺陷，本文設計了一個全新的混合遺傳演算法sega ，這一演算法在進化方式上與傳統的混合遺傳演算法明顯不同，然後，用馬爾可夫鏈的有關知識對sega演算法進行數學分析。
  15. 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。 」
  16. A computer simulation system of experiment in genetics

    遺傳學實驗的計算機模擬系統設計
  17. The combination of statistical modelling, genetics, and developmental biology begs many questions, such as the patterns of genetic control over development, the duration of qtl effects, as well as what causes developmental trajectories to change or stop changing

    函數作圖綜合了生物學機制的數學特性和性狀遺傳作圖的統計學特點，結合統計模型、遺傳學和發育生物學的函數作圖策略，力求解決諸如發育的遺傳控制模式、 qtl的持續效應以及引起發育過程中啟動和終止的遺傳機制等問題。
  18. In july 2 01, he visited the chinese university as wei lun visiting professor and delivered a public lecture on the recent developments of chinese hybrid rice. during his visit, he expedited and further materialized the research collaboration with professor samuel sun and professor lam hon - ming of the department of biology at the chinese university, and professor maurice ku of the school of biological sciences at washington state university on an genetic enhancement programme of chinese hybrid rice to further improve the grain yield, quality and stress resistance of the super hybrid rice for the 21st century

    袁教授於今年七月訪問香港中文大學，擔任偉倫訪問教授，主持公開講座介紹中國雜交水稻的最新發展；期間，袁教授與香港中文大學生物系辛世文教授、林漢明教授及美國華盛頓州立大學生命科學學院古森本教授落實共同進行一項大型合作研究計劃，通過引入先進生物科技和破解水稻的遺傳基因密碼，結合傳統育種技術，進一步提升中國雜交水稻的產量、質量及抗逆的能力，推動二十一世紀中國雜交水稻的改良工程。
  19. In order to further increase the yield of hybrid rice as well as enhancing its quality and stress tolerance, professor yuan is conducting a research collaboration with professor samuel sun and professor hon - ming lam of the department of biology at the chinese university of hong kong, and professor maurice ku of the school of biological sciences at washington state university. with the help of advanced biotechnology and recent progress in the decoding of rice genome, together with traditional breeding techniques, the collaborating team aims to develop enhanced chinese hybrid rice for the 21st century

    為進一步提升中國雜交水稻的產量、質量及抗逆的能力，袁隆平教授與香港中文大學生物系辛世文教授、林漢明教授及美國華盛頓州立大學生命科學學院古森本教授正進行一項大型合作研究計劃，通過引入先進生物科技和破解水稻的遺傳基因密碼，結合傳統育種技術，推動二十一世紀中國雜交水稻改良工程。
  20. The dissertation mainly aims at applying several active machine learning strategies to intrusion detection and systematically studies signal analysis techniques of intrusion detection based on statistical learning theory ( slt ), symbol inductive learning theory and genetic learning method. meanwhile, performance comparison and evaluation among intrusion detection techniques based on different machine learning strategies are presented according to computational learning theory and statistical hypothesis test methodology. intrusion detection is regarded as a pattern recognition problem in term of statistical learning theory ; i

    本文的主要工作是將目前幾種有生命力的機器學習策略應用於入侵檢測技術中，論文從入侵檢測的不同視角出發，系統深入地研究了統計學習理論、基於符號的歸納學習理論和遺傳學習方法在入侵檢測信號分析中的應用技術，並在可能近似正確（ pac ）學習框架下，利用計算學習理論和統計假設檢驗方法對基於不同機器學習策略的入侵檢測方法進行了性能比較和評估。
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