線性遺傳模型 的英文怎麼說

中文拼音 [xiànxìngyízhuànmóxíng]
線性遺傳模型 英文
linear genetic models
  • 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...
  • 性 : Ⅰ名詞1 （性格） nature; character; disposition 2 （性能; 性質） property; quality 3 （性別） sex ...
  • 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）...
  • 模 : 模名詞1. （模子） mould; pattern; matrix 2. （姓氏） a surname
  • 線性 : [數學] [物理學] linear; linearity線性代數 linear algebra; 線性方程 linear equation; 線性規劃 line...
  • 遺傳 : [生物學] heredity; hereditary; inheritance; inherit
  • 模型 : 1 （仿製實物） model; pattern 2 （制砂型的工具） mould; pattern3 （模子） model set; mould patter...
  1. 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。
  2. 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
  3. 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。
  4. 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
  5. 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
  6. 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
  7. 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。
  8. 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。
  9. 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。
  10. 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。
  11. 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。
  12. 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。
  13. 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。
  14. In this paper, an optimal model for arrangement is designed, which is with multi - objective function and nonlinear constraints, and an improved genetic algorithm with penalty strategy is proposed to solve the optimization problem

    本文建立生料漿調配過程的優化模型，針對模型中的多目標函數以及非線性約束特點，提出一種結合懲罰策略的改進遺傳演算法進行尋優。
  15. A method based on gene expression programming ( gep ) for identifying the nonlinear system model is presented, which makes up the insufficiency that traditional identification methods need much a priori information, and has a tidier and more efficient system model expression mode than genetic programming ( gp )

    摘要給出了利用基因表達編程（ gep ）進行非線性系統辨識的方法，彌補了傳統辨識方法需要過多預知信息的不足，有著比遺傳編程（ gp ）更簡潔有效的系統模型結構表達方式。
  16. In this thesis, genetic algorithm ( ga ) is used to solve aeroengine nonlinear model problems at first time, fast ga and ga application meathods are studied, the main work and the conclusion of the thesis are summarized as follows : 1

    本文首次將遺傳演算法應用於發動機非線性數學模型，首先針對遺傳演算法計算效率差的不足，進行快速遺傳演算法研究；然後深入分析了遺傳演算法在發動機數學模型應用中的實現技術。論文完成的主要工作與結論如下： 1
  17. 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。
  18. On the basis of the loess distribution, engineering geology and specific properties of road use in gansu province, this paper divides traffic volume grade according to the conditions of transportation of all high - grade highways which are being built and have already finished. besides, it analyses the relativity of three different test methods, establishes the related relations, and divides their strength grade after measuring rebound module of subgrade of the representative high - grade highways in gansu loess area. furthermore, it recommends the common semi - rigid and asphalt concrete design parameters by comparing the experiment in doors to outdoors, and draws up the optimized design program aga - lq based on advanced genetic algorithm and solves the non - liner optimization design model of asphalt pavement construction by computer

    本文基於甘肅黃土分佈、工程地質及路用特性研究，對該黃土地區在建和已建的全部高等級公路交通狀況進行了詳細調查和分析，劃分了交通量等級；對甘肅黃土地區代表性的高等級公路，利用三種不同方法實測了土基回彈模量，分析了各測試方法的相關性，建立了相關關系，對土基回彈模量進行了強度等級劃分；通過室內外試驗比較，推薦了常用的半剛性材料和瀝青混凝土設計參數值；利用計算機編制了基於改進遺傳演算法的優化設計程序aga ? lq ，並成功求解了瀝青路面結構非線性優化設計模型；最後經計算提出了甘肅黃土地區高等級公路瀝青路面典型結構，並編制了查詢圖庫軟體cx ? lq ，供設計單位直接選用，科學簡便地解決了甘肅黃土地區的路面設計問題。
  19. Control systems in modern automatic engineering are nonlinear, time - changed and indefinite. lt is difficult to model by traditional method, even sometime impossible. under these circumstances we should apply model identification to gain the approximate model of object for effective control, there are many models to be chosen, fuzzy model is one of them, it is put forward with the development of fuzzy control. fuzzy model has characteristics of general approximation and strong nonlinear, it is fit for describing complex, nonlinear systems. to avoid rules expansion when the number of input values are very big. in this paper we apply hierarchical fuzzy model to resolve this problem, we also illustrate it has general approximation to any nonlinear systems. genetic algorithm is a algorithm to help find the best parameters of process. lt has abilities of global optimizing and implicit parallel, it can be generally used for all applications. in our paper we use fuzzy model as predictive model and apply ga to identify fuzzy model ( including hierarchical fuzzy model ), we made experiments to nonlinear predictive systems and got very good results. the paper contains chapters as below : chapter 1 preface

    現代控制工程中的系統多表現為非線性、時變和不確定性，採用傳統的建模方法比較困難，或者根本無法實現，在這種情況下，要實現有效的控制，必須採用模型辨識的方法來獲取對象的近似模型，並加以控制，目前用於系統辨識的模型種類很多，模糊模型是其中的一種，它隨著模糊控制的發展而被人提出，模糊模型具有萬能逼近和強非線性的特點，比較適合於描述復雜非線性系統，為了解決模糊模型在輸入變量較多時規則數膨脹的問題，文中引入遞階型模糊模型，並引證這種結構的通用逼近特性。遺傳演算法是模擬自然界生物進化「優勝劣汰」原理的一種參數尋優演算法，它具有隱含并行性和全局最優化的能力，並且對尋優對象的要求比較低，在工程應用和科學研究中，得到了廣泛的應用，本文將遺傳演算法引入模糊模型的辨識，取得了很好的效果。
  20. The extended max - rwa problem is formulated as two integer linear programming ( ilp ) from the different viewpoint, and then solved using genetic algorithm and tabu - search algorithm respectively. a dynamic routing and wavelength assignment algorithm ( lcwa ) for limited - range wavelength conversions is proposed

    從不同角度出發，給出了max - rwa問題的兩個整數線性規劃模型，隨後分別使用遺傳演算法和禁忌搜索演算法求解了波長轉換范圍受限條件下的靜態max - rwa問題。
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