genetic hybrid 中文意思是什麼

genetic hybrid 解釋
屬間雜種
  • genetic : adj. 1. 遺傳(學)上的。2. 發生的,發展的;創始的。adv. -ically
  • hybrid : n 1 【生物學】雜種,雜交種;混血兒。2 (由兩種來源的東西組成的)混合物;受過兩種不同文化傳統教育...
  1. Genetic analysis of agronomic characters in early hybrid rice

    不同類型雜交早稻農藝性狀的遺傳分析
  2. Construction of a genetic linkage map of a hybrid allium using aflp markers

    分子標記構建雜種蔥的遺傳圖譜
  3. A portfolio selection model on copula - garch - evt based and its hybrid genetic algorithm

    的資產組合選擇模型及其混合遺傳演算法
  4. Hybrid genetic algorithm method for identical parallel machine earliness tardiness scheduling problem

    拖后調度問題的混合遺傳演算法方法
  5. Genetic relationship between parents and hybrid progenies of populus alba l. 215 ; ulmus pumila l. using aflp marker

    標記研究銀白楊215 ;白榆的親子關系
  6. Because their parents ' genetic systems are now incompatible, hybrid offspring either do not survive or are sterile

    因為父母的遺傳系統已互不相容,混血子女不是活不了就是不育。
  7. Genetic analysis of heterosis for hybrid tulip tree

    雜種馬褂木雜種優勢的遺傳分析
  8. The results show that the genetic diversity of filial generations is higher than self - bred progeny ’ s , the hybrid vigor has manifested at metabolization level 。 the proportion of polymorphic loci ( p. 99 ) in f1 generations was 30. 77 - 36. 36 % , the mean observed heterozygosity ( ho ) of jmcf ( japanese male chinese female ) was the highest with 0. 1727, the rest populations were : jfcm ( japanese female chinese male ) 0. 1536 、 cp 0. 1273 and jp 0. 1055 , the mean effective number of allels per locus in f1 generations : cp ’ s was the highest with 1. 7318 , jp ’ s was the lowest with 1. 6718 , the filial generations ’ values were in the midle of the cp ’ s and jp ’ s and between them there was no brightly difference, with 1. 6955 ( jfp ) and 1. 6927 ( jmp )

    各組的平均雜合度預期值也表現出該趨勢,即:日自交組最低,為0 . 1786 ,日雄中雌雜交組的平均雜合度最高,為0 . 1964 ,日雌中雄雜交組和中自交組分別是0 . 1891和0 . 1865 。 hardy - weinberg平衡下遺傳偏離指數也是雜交組的小於自交組的,平均每個位點的等位基因有效數目中自交組最高為1 . 7318 ,日自交組最低為1 . 6718 ,兩雜交組群體的這一指數相差不多,分別是1 . 6955和1 . 6927 ,位於兩親本的中間水平。
  9. A hybrid genetic algorithm for solving 0 - 1 knapsack problem

    1背包問題的混合遺傳演算法
  10. Mutative scale chaos optimization is introduced to form a new hybrid genetic algorithm - chaos genetic algorithm which is applied to predict reserves of hydrocarbon

    應用變尺度混沌搜索策略,建立了一種新的混合遺傳演算法混沌遺傳演算法。
  11. Varietal identification and genetic purity testing of hybrid maize, capsicum and rice in laboratory

    水稻和辣椒種子品種真實性和純度的室內快速鑒定
  12. In those instances nuclei as well as cytoplasms came together and the hybrid cells made perfectly functioning enzymes that expressed the genetic code of two types of animal

    在那些例子中,細胞核和細胞質融合在一起,雜交細胞製造出了表達兩種動物遺傳密碼、完美運轉的酶。
  13. In the fourth chapter, several methods for handling constrains by genetic algorithms for nonlinear programming problems are introduced. these methods were grouped into four categories : methods based on preserving feasibility of solutions, methods based on penalty functions, methods which make a clear distinction between feasible and infeasible solutions and other hybrid methods

    在第四章中介紹了處理約束的四類方法:運算元修正法,罰函數法,可行域搜索法,以及混合遺傳演算法,並對這些方法做了詳細的分析,指出了他們優劣之處。
  14. 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。
  15. ( 3 ) planar full - crank five - bar mechanisms without uncertainty singularity are chosen to construct a hybrid mechanism generating the given path. a mathematical model is set up to optimize the dimensions of five - bar mechanism with the minimal power consume of the controlling motor by the improved genetic algorithms. an example is given to show the effectiveness of the mathematical model

    ( 3 )第四章中,選取全曲柄五桿機構中的三種類型機構作為混合驅動機構,以減少用於控制其一連架桿運動的步進電機所消耗的功率為目的,建立相應的數學模型,用改進的遺傳演算法對該五桿機構進行優化綜合,求得尺寸參數。
  16. Then, an improved genetic algorithm is proposed to solve this problem. this algorithm makes trees with the source and all destinations are the space of operation and filter operation. with hybrid selection operator, competition among brothers, greedy operation, filter operation

    然後給出了一種基於遺傳演算法的實時多播路由選擇方法,並用改進的遺傳演算法進行了求解,該演算法採用包含源節點和目的節點的樹作為交叉和變異的空間的方法,通過加入混合選擇、小范圍競爭擇優的交叉變異操作,提高了全局搜索能力和收斂速度。
  17. Arrange production schedule based on improved hybrid genetic algorithm

    基於改進混合遺傳演算法安排生產調度
  18. Consulting on the method of arrangement of shunting locomotives, the mathematical model of the arrival and departure lines occupying arrangement is set up. i apply the hybrid algorithm that combines greedy - selector into genetic algorithm to the question and get satisfactory answers

    參照調車機車運用計劃的求解,建立到發西南交通大學博士研究主學位論文第11頁線佔用安排的數學模型,並將貪婪著色演算法和演化演算法混合起來運用於該問題,取得滿意解。
  19. The hybrid genetic algorithms are employed to get the better optimization control law, and the problem of limited torque is solved by individual representation operation

    為了獲得最優擺起控制序列,採用混合遺傳演算法進行優化計算,通過編碼操作解決控制力矩受限問題。
  20. This thesis presented a modified genetic operators in clustering analysis, and firstly introduced good point set - based clustering algorithm - gameans, which characterized by inferior sensitivity to initial, robustness, and removable premature, and also firstly presented a hybrid method with ga and gameans. experiment show that the hybrid method with general performances can find better clustering results

    文中討論了聚類分析的遺傳操作改進方法,首次提出了基於佳點集ga的聚類演算法gameans ,降低了傳統聚類演算法對初始化的要求,具有收斂快、較強的穩健性和可避免早熟的特點。
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