genetic cross 中文意思是什麼

genetic cross 解釋
遺傳雜交
  • genetic : adj. 1. 遺傳（學）上的。2. 發生的，發展的；創始的。adv. -ically
  • cross : n 1 十字架；〈the C 〉 耶穌受刑的十字架。2 〈the C 〉 基督教（教義，國家）。3 不幸，苦難；挫折，...
  1. At the point of maximum thickness of such a genetic increment it may be anti cipated that a cross-trending channel sandstone will be present.

    在這種基因增量厚度最大的地方，可以預測將有垂直走向的水道砂巖存在。
  2. This dissertation uses genetic algorithm to choose optimum parameters for the widely used pid controllers. in the optimization calculation process, mutation rate, cross rate and parameter range are adaptively changed to accelerate optimization process

    本文用遺傳演算法優化工程中廣泛使用的pid控制器的參數，採用變參數區間、變交叉變異概率等方法提高計算速度，並對適應值函數進行了改進。
  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. 2. a frequency extrapolation scheme is developed to effectively predict radar cross section using floating genetic algorithm based on the geometrical theory of diffraction ( gtd ) model. the threshold discrete fourier transform ( tdft ) is introduced for the data compression in angle domain

    在目標散射中心建模方面，我們將浮點型遺傳演算法（ fga ）應用於實際人工目標的gtd模型參數的抽取，利用所抽取的模型參數完成了雷達散射截面rcs的頻率擴展以及數據壓縮，並利用擴展的數據提高了距離解析度。
  5. Since last spring, jeff cross, 29, had been tormented by night sweats, a side effect of the rare genetic illness that threatened to kill him unless he got a new liver

    從去年春天起， 29歲的傑夫?克羅斯天天被盜汗所困擾，這源於一種罕見的基因遺傳病變，除非他獲得一個新的肝臟，否則疾病將威脅他的生命。
  6. One is the bss based on kernel density estimation ( kde ) and genetic algorithm ( ga ), the other is the blind deconvolution based on high order cross cumulants and ga. without nlf, the performance of separation in both algorithms is independent with the kurtosis of the sources

    兩種演算法的實現無需引入非線性函數，因此都與源信號的峭度性質無關;另外，選取全局搜索的遺傳演算法進行尋優，避免了梯度法搜索的局部性，使得演算法均能收斂到問題的全局最優解。
  7. The result showed that the factors of different germination levels and generation times did not affect the genetic integrity during the regeneration in the case of often cross - pollinated crops like cotton

    本試驗表明不同更新發芽率水平和繁殖世代數差異沒有對棉花這種常異花授粉作物種質遺傳完整性變化產生影響。
  8. In this paper, fuzzy pid controller based on t - s model has been studied. due to lacks of criterion of optimization and excessive tuning parameters, the adaptive genetic algorithm with variable cross and mutation probability is used to optimize the parameters and the performance of control systems is improved. firstly, based on modified pid - flc with four fuzzy rules, scaling factor and the fuzzy consequent parameters are optimized by aga with multiple performance indexes respectively

    本文主要研究基於t - s模糊模型構成推理形式的模糊pid控制器，針對以往的模糊pid控制沒有統一的參數整定的準則及大量的待整定參數，本文採用具有動態交叉、變異概率的自適應遺傳演算法（ aga ）優化控制器的待定參數，改善了系統的控制性能。
  9. ( 3 ) the span analysis of the genetic operators. 8 schemes were provided to analyze the relation of the genetic operators such as population size, cross probability, mutation probability. at last, a optimum group of genetic operators was selected

    提出8種方案來分析遺傳操作運算元（種群規模、交叉概率和變異概率）之間的聯系，並根據精度最高原則最終確定一組合適的遺傳操作運算元。
  10. Genetic analysis of progeny from cross cex1 - 1 xcexi - 2 showed that cex1 - 1 and cex ! - 2 were allelic at the cex1 locus

    對cexll和cexl 2的等位性研究發現， cexl 1和cexl 2是等位基因突變體。
  11. They found that np30 had partial cross - reaction with sea and maa and could be used as " antigen reagent " in the immunodiagnostic assays based on antibody detection of schistosomasis japonica. it is difficult to obtian gaa by genetic engineering methods, because gaa is glycoprotein

    基固，擴增產物鑒定后，將其克隆apuc19載體，重組子用san驢r 』 s雙脫氧鏈終止法和自動測序法測定其序列，序列與genebank中及已發表的抗體序列進行比較分析。
  12. Genetic markers enable plant breeders to begin their selection at the cell stage by looking for the gene responsible and checking at an early stage of cross - breeding, whether the desired gene has been inherited by the offspring plant, instead of having to go through the process of cross - pollination and then growing the offspring to see if they have inherited the desired characteristics, and if not, starting all over again.

    遺傳標記物的存在能夠使植物育種家在細胞階段就開始進行選種，所用的方法包括尋找相應的基因以及在雜交早期進行檢查看看想要的基因是否遺傳到子代植物，這樣就不需要經過復雜的傳統育種過程：雜交授粉種植子代觀察子代是否獲得想要的性狀如果子代沒有攜帶想要的性狀，再從頭開始
  13. On single color, it provides image2 - d minimum cross entropy based on genetic algorithm. on multi - color, it provides distill color - feature and morphologic segmentation technique. these segmentations all get good effect to make preparation for the following recognition. thirdly, this paper gives feature extraction means

    另外，還研究了對背景固定的灰度視頻流及彩色視頻流的運動目標進行了檢測分割，這些分割方法均取得了不錯的效果，為目標識別作好了準備。
  14. In this paper, the method combined with curvature mode shape, finite element method ( fem ), artificial neural networks ( ann ) and genetic algorithms ( ga ) is applied. the optimization of a taper trunk beam of variable cross section under impact load can be obtained on the base of considering the objectives of minimum gross mass and the condition of constrain of dynamic stress

    本文採用了曲率模態、有限元、神經網路和遺傳演算法相互結合的方法，對承受沖擊載荷作用的變截面懸臂箱型梁，在動應力滿足材料許用應力的約束下，以質量最小為目標函數，做了優化設計方面的研究。
  15. Therefore, the original optimization model is transformed into the problem of cross sectional area optimization. this paper had great research on the development of optimization algorithm by analyzing typical optimal search method, such as greedy algorithm, simulated annealing algorithm, neural network and genetic algorithm ( ga ). according to the characteristics of truss structure, we choose genetic algorithm as the solution way

    本文在研究優化演算法發展過程的基礎上，分析了典型的優化搜索方法：確定性演算法如貪婪演算法，隨機搜索演算法如模擬退火演算法，人工智慧演算法如神經網路及遺傳演算法，根據桁架結構優化的特點，最終選擇以遺傳演算法作為桁架結構優化設計的主要演算法。
  16. With the help of the search technique based on traditional optimal methods, gradient operator cross search operator and evolution operator are exploited to strengthen the local search ability of genetic algorithm

    第3章借鑒了傳統優化方法中的搜索技術，開發了梯度運算元、正交搜索運算元和進化運算元以強化遺傳演算法的局部搜索能力。
  17. ( 1 ) the paper has studied the contractive mapping genetic algorithm, which can be converged to a global optimal solution proved by fixed - point theorem of banach space. it remedies the shortage of standard genetic algorithm. furthermore, the paper discusses the genetic operation in the algorithm such as the coding, select, cross over and mutation etc. it will be help to the next work about fusion with the neural network

    本文融合神經網路技術和遺傳演算法，對軌道交通引起的地面振動進行了正分析和反演，並利用計算機技術實現了地面振動的三維動畫模擬，這主要包括： （ 1 ）研究了壓縮映射遺傳演算法，利用banach空間的不動點定理證明了壓縮映射遺傳演算法可以收斂到全局最優值，彌補了標準遺傳演算法不能收斂至全局最優值的不足。
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