線型遺傳 的英文怎麼說

中文拼音 [xiànxíngyízhuàn]
線型遺傳 英文
linear inheritance
  • 線 : 名詞1 （用絲、棉、金屬等製成的細長的東西） thread; string; wire 2 [數學] （一個點任意移動所構成的...
  • 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）...
  • 線型 : alphabet of lines
  • 遺傳 : [生物學] heredity; hereditary; inheritance; inherit
  1. The inversion results of synthetic magnetotelluric sounding data are ideal, which indicates that the algorithm possesses advantages of expediting convergence, avoiding earliness and improving precision, and can be used in mt data analysis

    對各種類型的大地電磁測深理論曲線進行計算，結果表明：採用實數編碼混合遺傳演算法進行反演具有收斂速度快、解的精度高和避免出現早熟等優點，可用於大地電磁資料解釋。
  2. Considering the electrovalence, the curve of water consumption and the reliability of water supply, this paper respectively sets up the model based on the maximal flux and the model based on the expectation flux. it takes yearly expenditure converting value and yearly cistern converting value as target function and takes continuity equation, velocity of flow and compression resistance of cast iron pipeline as restrictions and sets up the pga model on optimal design of water supply networks

    考慮到峰谷電價、用水量變化曲線及用水可靠性因素的影響，分別建立了以最高時流量設計管網的模型和以期望時流量設計管網的模型，以年費用折算值加上清水池年造價折算值為目標函數，以連續性方程、管中流速和鑄鐵管耐壓值等為約束條件，進行并行遺傳演算法對給水管網優化設計的實現。
  3. 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。
  4. The karyotype of nelumbo nucifera during meiosis zygotene was established in this study, which would help the studies of meiosis and molecular cytogenetics in lotus

    摘要本研究建立了中國蓮偶線期染色體的核型，為研究蓮的減數分裂過程及分子細胞遺傳學研究提供基礎。
  5. Also, multi - line balancing problem is discussed, and a new variant genetic algorithm called kpga is proposed. it overcomes the drawbacks of the traditional gas and adopts the so - called coss - kindred selection. the algorithm is verified to be more efficient than the traditional ga and other variant gas

    本文還針對多生產線布局問題提出了一種新型的遺傳演算法? ?家族保護遺傳演算法（ kpga ） ，該演算法針對傳統遺傳演算法的制約因數加以改進，採用跨家族選擇和家族內選擇相結合的選擇方式。
  6. A novel dynamic evolutionary clustering algorithm ( deca ) is proposed in this paper to overcome the shortcomings of fuzzy modeling method based on general clustering algorithms that fuzzy rule number should be determined beforehand. deca searches for the optimal cluster number by using the improved genetic techniques to optimize string lengths of chromosomes ; at the same time, the convergence of clustering center parameters is expedited with the help of fuzzy c - means ( fcm ) algorithm. moreover, by introducing memory function and vaccine inoculation mechanism of immune system, at the same time, deca can converge to the optimal solution rapidly and stably. the proper fuzzy rule number and exact premise parameters are obtained simultaneously when using this efficient deca to identify fuzzy models. the effectiveness of the proposed fuzzy modeling method based on deca is demonstrated by simulation examples, and the accurate non - linear fuzzy models can be obtained when the method is applied to the thermal processes

    針對模糊聚類演算法不適應復雜環境的問題，提出了一種新的動態進化聚類演算法，克服了傳統模糊聚類建模演算法須事先確定規則數的缺陷.通過改進的遺傳策略來優化染色體長度，實現對聚類個數進行全局尋優;利用fcm演算法加快聚類中心參數的收斂;並引入免疫系統的記憶功能和疫苗接種機理，使演算法能快速穩定地收斂到最優解.利用這種高效的動態聚類演算法辨識模糊模型，可同時得到合適的模糊規則數和準確的前提參數，將其應用於控制過程可獲得高精度的非線性模糊模型
  7. A fuzzy probability reasoning model for transformer faults diagnosis is rebuilded based on probability reasoning and fuzzy theory. a ga resolvent for the model is put forward from the point of nonlinear combinatorial optimization view

    本文在概率因果推理模型的基礎上，引入模糊理論，重新建立了模糊概率因果變壓器故障診斷模型，並從非線性組合優化的角度提出了該模型的遺傳演算法求解策略。
  8. 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
  9. The genetic correlations of six agronomic characters in some indica - japonica crosses were analyzed using mixed - linear model method. the results indicated that there existed correlations to a certain degree among the measured traits. the phenotypic correlations of plant height with filled grain or seed setting were significant. panicle length with total grains or filled grain, total grains with filled grain or seed setting, and filled grain with seed setting were the same. for panicle length with plant height or seed setting, total grains with filled, and for filled grain with seed setting, genetic correlations were also significant. further analysis, the result showed that genetic correlations between the measured traits were mainly due to domimant effects. in addition, additive correlations were significant for grain weight with panicle length or total grains or filled grain, and for total grains with filled grain

    用混合線性模型方法對秈粳亞種間雜交組合農藝性狀的相關性進行了遺傳研究，結果表明：被測性狀之間大都存在一定程度的相關.其中，株高與實粒數、結實率，穗長與總粒數、實粒數，總粒數與實粒數和結實率，以及實粒數與結實率之間具有顯著的表型相關，總粒數與實粒數，實粒數與結實率，以及穗長與株高和結實率之間具有顯著的遺傳相關.進一步的分析表明，性狀之間的遺傳相關大多歸因於顯性效應，而粒重與穗長、總粒數和實粒數之間，以及總粒數與實粒數之間還具有極顯著的加性相關
  10. The hwtx - i gene was chemically synthesized according to its known cdna sequence, the gene was inserted into vector ppic9k which contained aoxj promotor and the sequence of a secreting signal peptide - a - factor, the cloning ppic9k / hwtx - i was constructed and confirmed by two - step pcr and dna sequence analysis, then it was transformed into host strain gs115, a his + muts cell line was screened and multicopy transformants were screened by various g418 concentrations, the multicopy transformant was named gh1. gh1 was cultivated in flasks. after 6 days of induction by 0. 5 % methanol, the supernatant was checked by 16. 5 % tricine - sds page, which showed there was a band in the position of 3. 5 - 6. 1kd, then it was isolated and desalted by ultrofiltration followed by ion exchange of cm column, after reverse phase hplc of ci8 and vacuum drying, the purified rhwtx - 1 was obtained which was proved to be correct recombinant hwtx - i by tricine sds - page, maldi - tof mass spectrometry, amino acid composition analysis, the n - terminal amino acid sequence and its biological activity, the final field of the purified rhwtx - i was about 80mg / l, accounting for 23. 6 % of it total secretory proteins

    將帶有hwtx -基因的ppic9k經blgii線性化后，轉化酵母宿主菌gs115原生質體后經篩選陽性克隆並經表型鑒定為his ~ + mut ~ s酵母菌，進一步用遺傳毒素g418篩選多拷貝的轉化菌株，命名為gh1 ；將gh1甲醇酵母菌用0 . 5的甲醇誘導表達，發酵上清經90飽和度的（ nh _ 4 ） _ 2so _ 4沉澱， yw - 3 （ mwc03000 ）的超濾膜超濾，再經cm陽離子交換， c _ （ 18 ）反相hplc純化得到分子量為4kd左右的組分，其中4289 . 05的組分經質譜鑒定，氨基酸組成分析和序列測定為正確的表達產物，生物學活性表明其活性為天然毒素活性70 % ，表達量為80mg / l 。
  11. 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
  12. Application of the algorithm for different observed head data sets indicate that the model can be successfully applied for aquifer systems where data available may be sparse and with errors. calculated groundwater heads by identification results in fourteen parameter areas are fit for observed heads in field, and flowing filed is similar. the study demonstrates the effectiveness of the ga global optimization model for parameter identification, which is an important step towards real system simulation and effective planning and management of groundwater resources

    通過算例研究，表明上述演算法可行，且rbf神經網路方法和退火遺傳演算法對地下水系統參數的識別效果都較好，而退火遺傳演算法較之標準的遺傳演算法具有更好的收斂性將演算法應用到北京市密懷順地區，在收集、分析研究區資料基礎上，建立了北京市密懷順平原區地下水模擬模型，並用遺傳演算法進行了地下水系統參數識別，在十四個分區情況下，計算水位與實際水位擬合的較好，各應力期末的計算與實測等水位線基本一致，表明該識別值較為合理。
  13. The thesis detailedly discusses a kind of optimize method on genetic algorithm, and points out the advantage obout utilizing genetic algorithm to solve large - scale non - linear system. through the study on large - scale strip mine truck real - time dispatch system, proposes the optimize model of strip mine truck real - time dispatch system, and utilizes the characteristic of genetic algorithm, provides a method of using genetic algorithm to solve the optimize model, designs the genetic operators at the same time. by the program language of matlab, develops strip mine truck real - time dispatch system. the system has the advantage of simpless and perfect function, proposes powerful sustain for strip mine ' s production and decision - making

    本文詳細討論了遺傳演算法這種優化方法，指出了遺傳演算法在解決大型非線性系統優化問題時的優越性。通過對大型露天礦卡車調度系統的研究，建立了露天礦卡車實時調度系統的優化模型，並藉助于遺傳演算法自身的優點，給出了應用遺傳演算法解算該優化模型的編碼方法，設置了相應的遺傳運算元。並用matlab編程語言開發了露天礦卡車實時調度系統，該系統具有操作簡單和功能較完善等優點，為露天礦的生產決策提供了強大的支持。
  14. Data processing is performed by pc ， which includes detecting rough error by quartile method base on first order differential, adopting three points algorithm to eliminate deviations of rack displacement and installation, applying minimum containing area method to evaluate the sectional plane radius of roller and realizing it by genetic algorithm, adopting akima method to fit curve of roll profile

    主要的數據處理工作在上位機進行，採用基於差分法的分位數演算法剔除粗大誤差；採用三點式測量原理消除探頭的安裝及運動所產生的誤差；採用最小包容區域法評定軋輥半徑，並應用遺傳演算法實現最小包容區域法的尋優計算；採用阿克瑪插值方法進行輥型的曲線擬合。
  15. Then, we establish the finite element analysis models of the antenna in different structure layout, and obtain the corresponding frequencies and model shapes. finally, according to the importance of each object, we set up the model of multiple objects that aims to maximize the first natural frequency and minimize the mass. combining orthogonal experiment and variant weighting coefficient method, we formed an effective multiple objects optimized algorithm basing on the neural network and genetic algorithm

    本文首先詳細的敘述了天線結構的各組成單元，闡明了天線反射拋物面的形成原理；然後在ansys軟體環境中建立了不同結構布局下天線的有限元分析模型，分析計算了各種情況下天線的的固有頻率與振型；最後依據天線各指標的重要性，建立了以一階固有頻率最大、質量最小為目標的天線結構多目標優化設計模型，並基於神經網路和遺傳演算法，結合正交實驗和變加權系數技術，形成了一種有效的多目標優化演算法，在matlab平臺下實現了天線的結構多目標優化設計計算程序，求得了天線的最佳結構參數。
  16. Monte carlo simulations were conducted to study the new approaches of qtl mapping, the results indicated that general least squares ( gls ) method, which was widely applied in mixed linear model, could unbiasedly estimate all genetic main effects, including additive effects, dominance effects and epistatic effects of additive by additive, additive by dominance, dominance by additive, dominance by dominance. the interaction effects between genetic main effects and environments could also be predicted unbiasedly by linear unbiased prediction ( lup ). the heterosis prediction based on qtl effects was also unbiased

    對新提出的qtl分析方法進行了montecarlo模擬研究，結果表明，廣泛應用於混合線性模型的廣義最小二乘法（ gls ）能夠無偏估計加性效應，顯性效應以及加加、加顯、顯加、顯顯上位性效應等各項遺傳主效應；運用線性無偏預測法（ lup ）能夠無偏預測上述各項遺傳主效應與環境的互作效應；基於qtl效應的雜種優勢預測也是無偏的。
  17. 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。
  18. Complex algorithm and genetic algorithm, corresponding to three kinds of models were used to solve the optimization problem according. moreover, improve complex algorithm. genetic alaorithm were worked out and used in our studies successfully

    （ 6 ）針對裝置不同的數學模型我們分別採用線性規劃、復合形調優法、遺傳演算法作為優化方法，又對復合形調優法、遺傳演算法進行了相應的改進得到了相浙江大學博士學位論文應的計算結果。
  19. In order to test the grade criterions of flood disaster loss, logistic curve ( log ) model and genetic algorithm ( ga ) are used by the author who properly disposes the judge of disaster loss grade

    為檢驗洪澇災情等級標準的合理性，筆者利用邏輯斯諦曲線和遺傳演算法對其加以驗證，並且在模型的級別判定上，做了適當的處理。
  20. On the base of analysing the shortcoming of genetic algotithms, three improved techniques for genetic algorithms are bring forward in this paper : fuzzy penalty fitness function, random dislocation arithmetic crossover, fuzzy parameter adjust policy, which improve genetic algorithms capability of global convergence and convergent speed. at the same time, the improved genetic algorithms are applied to nonlinear mixed integer problems and complex nonlinear function optimization

    在分析實數型遺傳演算法不足的基礎上，本文研究了遺傳演算法的關鍵技術，分別提出了模糊懲罰評價函數、隨機錯位算術雜交運算元、模糊自適應參數控制等改進技術，以提高遺傳演算法的全局收斂性和收斂速度，並應用於求解非線性混合整數規劃問題和復雜高維的函數優化問題。
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