遺傳統計 的英文怎麼說

中文拼音 [yízhuàntǒngjì]
遺傳統計 英文
genetic statistics
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  • 遺傳 : [生物學] heredity; hereditary; inheritance; inherit
  • 統計 : 1 （對有關數據的搜集、整理、計算和分析） statistics; census; numerical statement; vital statistic...
  1. In this paper, coordinated design of a power system stabilizer ( pss ) and astatic phase shifter ( sps ) using genetic algorithm ( ga ) is investigated

    本文運用遺傳演算法對電力系統穩定器（ pss ）和靜止移相器（ sps ）的綜合協調設計進行了探討。
  2. 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。
  3. The method proposed in this thesis do well in solving the problems of multi - damping - ratio - spectra simulation. it is convenient to obtain the pareto optimal solution set of the multi - object question by using implicit parallel genetic algorithms and the method can meet the practical needs for simulating ground motions coinciding with multi - damping - ratio - spectra in seismic design. the crossing rate and variance rate are important parameters of genetic algorithms which affect the rate of convergence, the adapting rate of cross and variation in this paper can auto - adapt and according to stand or fall of current sample, it assures the sample approach to the pareto optimal solution set in fast convergent speed

    較好地解決多阻尼比反應譜擬合問題；本文方法通過一次運行就能獲得一組具有集系特性的地震動，在擬合多阻尼比反應譜的人造地震波集系的模擬方面有傳統方法所不能比擬的優勢，產生的人造波或人造波集系可滿足工程抗震設計需要；在遺傳演算法中，交叉概率和變異概率是影響收斂速度的重要參數，本文採用的改進自適應交叉概率和變異概率，可以根據當前樣本的好壞程度來自動地選擇適當的交叉概率和變異概率，以保證演算法始終以較好的速度向pareto最優解集逼近。
  4. A rate - dependent damage evolution modified zwt nonlinear constitutive ralation is adopted, an object function of least square was established according to the experimental results. the searching space of each decision variable was foreordained with conventional optimizing method, and all parameters in zwt model for solidified pf resin were determined with generic algorithms

    基於實驗曲線構建了最小二乘形式的目標函數，並採用傳統優化方法輔助設計了各個決策變量的搜索空間，進而用遺傳演算法確定了損傷型zwt非線性粘彈性本構關系中的材料參數。
  5. 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 ） 。
  6. 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。
  7. 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。
  8. In this work, some species of palmae cultivated in the xiamen botanical garden had been selected to be analyzed their genetic diversity with rapd ( random amplified polymorphic dna ) technique. according to the result of genomic dna amplified with pcr ( polymerase chain reaction ), genetic distance and similarity between different palm species were calculated on nei " s estimate of similarity and genetic distance. a primary but first time research at the phylogenetic relationships of some genera and species, the molecular classification and identification of some puzzling species of palmae was carried out through upgma ( unweighted pair group mean average ) cluster analysis of the genetic distance together with comparative study of the morphological structure characteristics

    本文在初步調查分析了棕櫚科植物在我國的自然分佈、引種馴化情況以及該類植物在廈門地區栽培應用狀況的基礎上，首次採用rapd分子標記技術，對廈門萬石植物園引種的一些棕櫚科植物的遺傳多樣性進行了研究，根據pcr對基因組dna擴增的結果，用nei ' s相似性系數計算了不同植物間的遺傳距離和遺傳一致度，通過對遺傳距離的upgma聚類分析，並結合形態分類的特點，對棕櫚科植物的屬、種間的系統分類關系和一些疑難種的分類鑒定進行了初步研究。
  9. The morphological diagnostic characters for many mature and early instar larvae are still lacking in china. partial sequences of the mitochondrial cytochrome oxydase i and ii and a transfor rna ( co i co ii and trna ) gene of the adults and larvae from caddisflies were. lepidostomaflavum, l. fui, l. arcuatum, paraphlegopteryx morsei, apsilochorema unculatum and apsilochorema hwangi, and the larval and adult stages of these species were sequenced and associated

    採用dnastarpackage中的editseq軟體進行序列編輯、 orf查找；採用clustalx軟體進行序列比對（ alignment ） ；比對結果輸入mega2 . 1軟體計算各樣品間的遺傳距離，並基於kjmura2 - parameter模型，用鄰接法（ neighbor - jojning ， nj ）構建系統發生樹，通過自展（ bootstrap1000次）檢驗獲得系統樹分支的置信度。
  10. 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。
  11. 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。
  12. 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。
  13. 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
  14. Finally, simulation experiments, the different parameters set out under the track, population size of the different fitness value of statistical analysis, the results showed that use of genetic algorithms in robot path planning is effective and feasible

    最後通過模擬實驗，對不同參數設置下規劃出的路徑進行比較，不同種群大小的適應度值進行統計分析，結果表明，遺傳演算法應用在機器人路徑規劃中是有效的，可行的。
  15. Abstract : aiming at the variety of modals of nonlinear systems, we proposed a general parameter estimation method based on genetic algorithms ( ga ), which can be used in most kinds of nonlinear system modal. this method was applied to simulating parameter estimation of several different examples of nonlinear systems. the results proved that the method is effective and useable

    文摘:針對非線性系統模型的多樣性，提出適用於多種非線性模型的基於遺傳演算法的參數估計方法，並以多種非線性模型為例作了模擬研究.結果表明，遺傳演算法是非線性系統模型參數估計的有效工具
  16. A method of fuzzy optimization design based on genetic algorithm is presented as a new method of parameter optimization design for dc double closed loop speed adjusting system. the method covers three steps. firstly, speed overshoot rate and settling time are chosen as performance indice according to the demand of engineering. these indice are normalized by using fuzzy membership function and then weighted to form objective function of optimization model of the system. secondly, the dynamic response curve of the system with corresponding parameters and peoformance indice are obtained by computerized numerical calculation and simulation. finally, parameters of engineering design are expanded as searching space ; and parameters of speed regulator and current regulator are taken as genes in chromosome. these genes in searching space are optimized to get best solution by way of genetic algorithm. as shown by experimental results, the parameters designed by this method are capable of significantly improving performance indice of the system, which proves that it is a practical and effective method

    提出一種基於遺傳演算法的直流雙閉環調速系統參數優化設計方法.根據工程技術的要求，選用速度超調量和過渡時間作為參數優化性能指標.將該指標用模糊隸屬度函數歸一化，再加權平均形成系統優化模型的目標函數.採用計算機數值計算方法，通過模擬獲得系統對應參數的動態響應曲線及其性能指標.最後以工程設計的參數為搜索范圍，以速度調節器和電流調節器的參數為染色體中的基因，通過遺傳演算法在搜索范圍中優化這些基因，獲得優化解.實驗結果表明，所設計的參數能使系統性能指標有顯著提高
  17. 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。
  18. 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。
  19. On describing a genetic algorithm ( ga ), we present a method for applying ga to optimize the lasers. a programming is presented for obtaining the maximum laser power. by using the method we optimize the cvl and the co2 laser, including lc circuit parameters of the cvl, the cvl system, the lasing resonator and the gas components mixtured in the co2 laser tube

    在這個部分中，首先簡述了遺傳演算法，討論了應用遺傳演算法來優化激光器的思想和方法，給出了優化大功率激光器的計算機程序設計；然後，對銅蒸汽激光器lc放電電路、大口徑激光器和激光器系統分別進行了優化；對二氧化碳激光器諧振腔和氣壓參量分別進行了優化，介紹了優化二氧化碳激光器諧振腔的實驗以及實驗所獲得的結果
  20. 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。
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