遺傳實驗設計 的英文怎麼說

中文拼音 [yízhuànshíyànshèjì]
遺傳實驗設計 英文
genetic experimental design
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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）...
  • 實 : Ⅰ形容詞1 （內部完全填滿 沒有空隙） solid 2 （真實; 實在） true; real; honest Ⅱ名詞1 （實際; 事實...
  • 驗 : 動詞1. （察看; 查考） examine; check; test 2. （產生預期的效果） prove effective; produce the expected result
  • 設 : Ⅰ動詞1 （設立; 布置） set up; establish; found 2 （籌劃） work out : 設計陷害 plot a frame up; fr...
  • 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...
  • 遺傳 : [生物學] heredity; hereditary; inheritance; inherit
  • 設計 : devise; project; plan; design; excogitation; layout; layout work; styling
  1. 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。
  2. 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。
  3. 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。
  4. 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
  5. 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
  6. In two axis system, a circle interpolator is designed, and a new method based on ga - neural networks is proposed to adjust pid parameters online to reduce the tracking error. then, an integrated controller based on rbf neural network ( rbfnn ) is designed to reduce the contouring error of the two axis. experimental results show that the proposed integrated controller significantly improved accuracy in both tracking and contouring

    對于雙軸系統設計了一個軌跡為圓的插補器，採用基於遺傳演算法?神經網路的在線pid參數調整演算法，減小了系統的跟蹤誤差，並分析雙軸之間的輪廓誤差，設計出基於rbf神經網路的綜合控制器，經過模擬實驗證明，本文採用的綜合控制器能有效地減小系統的跟蹤誤差和輪廓誤差，提高系統的控制精度。
  7. Site experiment were carried out on the testing vehicle for ahs and the magnetic markers road in national intelligent transport system center. also, study on multi - sensor information fusion and control model by using neural net system, fuzzy logic and genetic algorithm were carried out. the work completed are as follows mainly : ( 1 ) hardware system for lane keeping system including magnetic marker, magnetic sensor, control system and executor machine were designed

    本文以國家智能運輸系統研究中心的自動公路系統試驗車和專用的磁軌釘道路為工作平臺，在大量的現場實驗基礎上，針對基於磁軌釘導航的車輛車道保持技術中的若干問題展開研究，運用神經網路、模糊邏輯、遺傳演算法等方法在多傳感器信息融合、控制模型等方面進行了系統的研究，主要完成了以下幾方面的工作： （ 1 ）對車道保持系統硬體平臺進行了設計，論述了導航設施? ?磁軌釘的設計過程和車載工控機、步進電機等的選擇。
  8. Simple genetic algorithm gets local minimization too easily and converges slowly. to solve these problems, adaptive crossover rate that has reverse hyperbolic rel ation with the numbers of iteration is designed, and adaptive mutation rate that has reverse proportion to the distances of parents and reverse exponential relat ion to the numbers of iteration is put forward. the practical simulation results show that the adaptive ga has greater convergence speed and larger probability o f getting the best solution

    簡單遺傳演算法存在著收斂速度慢、易陷入局部極小等缺陷.針對這些缺陷，本文設計出隨相對遺傳代數呈雙曲線下降的自適應交換率，並提出與父串間的相對歐氏距離成反比、隨相對遺傳代數指數下降的自適應變異率.實例驗證表明，具有自適應交換率和變異率的遺傳演算法在收斂速度和獲得全局最優解的概率兩個方面都有很大的提高
  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. The experimentation proves that the game procedure designed by genetic algorithm outweighs that designed by search tree

    實驗表明，用遺傳演算法所設計的對弈程序優于搜索樹法。
  11. Genetic algorithm is used to optimize the parameters of pid controller that is used to control the plant lon ( local operating network ) is designed to control vav air - conditioning system. by this means the static pressure control and minimum total supply air volume control are experimented. the paper analyzes the coupling among loops, the whole system ' s stability and energy saving effect under the two control methods

    針對目前變風量空調系統的模型都是用機理建模方法建立的情況，本論文用最小二乘法對機組部分進行系統辨識，建立了水閥?送風溫度、變頻風機?靜壓兩個迴路的模型，經驗證比較接近實際系統；採用遺傳演算法對pid控制器的參數進行尋優，尋優結果令人滿意；設計了變風量空調系統的lon控制網路，以此為實現手段，進行了定靜壓控制和最小總送風量控制，並在兩種控制方式下，分析了各個迴路的耦合情況、兩種控制方式的穩定性和節能效果。
  12. Based on this, genetic algorithms are used to adjust the parameters of the filter in the internal model controller, the simulation experiments and the real - time temperature control of electrical furnace have been made

    以此為基礎，提出了將遺傳演算法用於內模控制中濾波器參數的整定，並進行了控制系統的模擬實驗和實例設計。
  13. This paper points out that it is efficient to code the string of index of the parts in adopting ga to solve cutting stock problem after analyzing the features and research tendency of ga. this paper presents suitable operators of selection, crossover and mutation for the coding method. these operators are used in the calculation of one - dimensional and rectangular cutting stock problems

    本文為這種基因編碼設計了實用的選擇、交叉、變異遺傳運算元，並將其用於一維下料方案優化問題、矩形件排樣問題的求解；討論了不同工藝要求條件下的適應度定義方法，並用四川大學博士學位論文計算實例驗證了其尋優效果。
  14. Research field were transgenic breeding, marker assisted breeding, molecular design breeding, related plant functional gene, genetic diversity, molecular maker genetic, basic theory and experiment technology of genetic breeding

    研究領域主要涉及轉基因育種、分子標記輔助育種、分子設計育種以及相關的植物功能基因、遺傳多樣性、分子標記遺傳及遺傳育種基礎理論和實驗技術等。
  15. The number of the hidden layers of mul - tilayer perceptrons ( mlps ) is analyzed, and three - layer perceptrons neural network is adopted ; by analyzing the mechanism of the neural cells in hidden layer, a method for combining genetic algorithm and bp algorithm to optimize the design of the neural networks is presented, and it solves the defects of getting into infinitesimal locally and low convergence efficiently, it can also solve the problem that it can usually obtain nearly global optimization solution within shorter time through using genetic algorithm method lonely ; several examples validate that this algorithm can simplify the neural networks effectively, and it makes the neural networks solve the practical problem of fault diagnosis more effectively

    對多層感知器隱層數進行了分析，確定採用三層感知器神經網路;通過對隱層神經元作用機理的分析，引入了遺傳演算法與bp演算法相結合以優化設計神經網路的方法，有效地解決了bp演算法收斂速度慢和易陷入局部極小的弱點，還可以解決單獨利用遺傳演算法往往只能在短時間內尋找到接近全局最優的近優解的問題;通過實例驗證了這種演算法能夠有效地簡化神經網路，使神經網路更加有效地解決實際的故障診斷問題。
  16. In this paper, how to design the fitness function, encoding method, selection method, crossover method and mutaion method are discussed in detail

    實驗結果表明本文設計的遺傳演算法的編碼方法和遺傳運算元是適合問題求解的。拓撲優化的結果是令人滿意的。
  17. The nucleic acids of the all influenza viruses conducted in the research were extracted from the viruses propagated in specific - pathogen - free chicken embryos. all of the eight segments were amplified by rt - pcr, and the purified pcr products were done cycle sequencing with specific primers, furthermore, the sequencing products were purified and run gel on abi prism 377 dna sequencing machine. the specific primers of the eight genes for pcr and cycle sequencing were designed using the ohgo ( 4. 0 version ) and genedoc ( 2. 3 version ) software

    首先將實驗用毒株在spf雞胚中增殖，提取核酸，然後應用oligo （ 4 . 0版本）和gendoc （ 2 . 3版本）軟體設計h9n2aiv所有8個基因片段特異的pcr引物及序列測定引物，通過rt - pcr方法擴增所有毒株的各個基因片段，純化後用特異引物進行測序反應，反應產物純化后在abiprism377dna序列分析儀上進行序列測定，然後應用wisconsinsequenceanalysispackage （ gcg ， 10 . 2版本） 、 phylogeneticanalysisusingparsimony （ paup ， 4 . 0版本）和treeview （ 1 . 5版本）軟體進行序列的數據編輯、序列翻譯、進化樹繪制和遺傳演化分析。
  18. A computer simulation system of experiment in genetics

    遺傳學實驗的計算機模擬系統設計
  19. This paper, firstly, expatiates the content and sense about optimal design of water supply networks, briefly introduces all optimal methods which have been advanced, analyzes these methods and points out their limitation, summarizes the factors which influence the results in optimal design of water supply networks ; secondly, it introduces the principle of genetic algorithms ( ga ). it takes yearly expenditure converting value as target function and sets up the ga model on optimal design of water supply networks based on sga by means of taking some effective measures on selection operator, crossover operator, mutation operator and some parameters setting ; finally, the ga model is verified by its application on engineering project

    本文首先闡述了給水管網優化設計的內容和意義，簡要介紹了已有的優化方法，分析比較了各種優化方法並指出其存在的不足，歸納總結了影響給水管網優化設計結果的各種因素；接著，介紹了遺傳演算法的基本原理，然後在標準遺傳演算法的基礎上，通過對選擇運算元、交叉運算元、變異運算元以及部分參數的設置採取改進措施，並以年費用折算值為目標函數，建立了給水管網優化設計的遺傳演算法模型；最後，通過工程實例驗證了該模型具有一定的理論和應用價值。
  20. W7e use the random optimization method to solve this problem, proposing an adaptive genetic algorithm to design accelerator rf cavity. we also implement and verify this algorithm in fortran language

    論文採用隨機優化方法來進行求解，提出了一種用於加速器高頻腔設計的自適應遺傳演算法，並用fortran語言進行了實現及驗證。
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