遺傳缺點 的英文怎麼說

中文拼音 [yízhuànquēdiǎn]
遺傳缺點 英文
hereditary fault
  • 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）...
  • 缺 : Ⅰ動詞1 （缺乏; 短少） be short of; lack 2 （殘缺） be missing; be incomplete 3 （該到而未到） be ...
  • 點 : Ⅰ名詞1 （液體的小滴） drop （of liquid） 2 （細小的痕跡） spot; dot; speck 3 （漢字的筆畫「、」）...
  • 遺傳 : [生物學] heredity; hereditary; inheritance; inherit
  • 缺點 : shortcoming; defect; weak point; weakness; disadvantage; drawback; foible
  1. This article reviews the clinical manifestations, mutation feature, gene location and phenotype of different ischemic cerebrovascular disease caused by monogenic disorders, including coagulation disorders, erythrocytic disorders, inherited small vessel disease, metabolic disorders, connective tissue diseases, vasculopathies and disorders of unknown etiology

    本文主要闡述了單基因遺傳障礙引起的缺血性腦血管病，包括凝血障礙、血細胞病、遺傳性小血管病、代謝障礙、結締組織病、大動脈病及不明原因引起缺血性腦血管病的臨床特徵、突變特點、基因定位及表型等遺傳學研究進展。
  2. A comprehensive study published recently in the journal of genetic counseling indicates such children run an only slightly higher risk of significant genetic disorders like congenital heart defects - - about two percentage points above the average 3 to 4

    最近發表在《遺傳學咨詢》雜志上的一份綜合性研究表明近親婚姻所生的小孩患上主要遺傳性疾病如先天性心臟缺陷的可能性只比一般小孩略高- -大約比平均的3到4高出兩個百分點。
  3. 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。
  4. The mutant lines were crossed with deficiency lines on chromosome 2 and 3 respectively, and the genetic sites of 11 stocks have been determined. of them four showed a different phenotype from the known genes that control the heart development

    分別將這些有心臟突變的品系與果蠅第二和第三染色體缺失系雜交，測定了11個品系的遺傳學位點，其中4個品系在遺傳學位點上有別于已經報道的心臟發育控制基因。
  5. This paper firstly introduces the phylogeny and actuality of tide - power stations ; the development style of them ; and then, establishes the mathematics model of optimal regulation of tide - power stations ; narrates how to use eq, dynamic programming, genetic algorithm to solve the problem of optimal regulation of tide - power stations individually ; makes comparison of three kinds of methods, pointing out the excellence and weakness of each method ; discusses some particular problems of tide - power stations, differing from normal water power stations. besides, this paper uses vb to develop an optimal regulation software which can be used in all tide - power stations

    本論文首先介紹了世界潮汐電站的發展史及發展現狀；潮汐電站的建庫方案；然後建立潮汐電站廠內經濟運行和短期優化調度的數學模型；在此基礎上，進一步使用等微增率法、動態規劃法和基因遺傳演算法來求解潮汐電站優化調度問題，並對三種方法作了比較，指出各自的優缺點；論文也探討了潮汐電站優化調度中不同於常規水電站優化調度的特殊問題的處理方法。
  6. In this thesis, using the shoot tip, a high efficient regeneration system of cherry was constructed, and using the domesticated shoot tip as receptor, the a. tumefaciens mediated genetic transformation system of cherry was optimized by comparing main parameters of the a. ( umefaciens mediated genetic transformation

    但其具有果小、核大、肉薄和裂果的缺點，而且是傳統育種方法很難改良的樹種之一，這促使人們想通過遺傳轉化技術改變其不良性狀。
  7. According to the shortage of ga converging to a local optimal solution because of reducing the diversity of individuals, the theory of biological immune system is cited, the immune operators including calculation the densities of antibodies, activating or suppressing antibodies and making the memory cell are designed, and effectively combined with ga operators

    同時，針對遺傳演算法在收斂計算後期，由於種群趨向單一化，出現早熟現象而陷入局部最優解的缺點，借鑒生物原理的免疫系統，設計出抗體濃度計算、抗體的抑制/促進、構造記憶單元等多個免疫運算元，並與遺傳運算元進行有效結合。
  8. An axial direction line multi - sensors placed method is presented. in the process of machine learning, use genetic algorithm to fit the curve of sensor ' s output. to improve the convergence speed of genetic algorithm, hill climbing method is joined with

    對示教過程中進行曲線擬和所用的遺傳演算法進行了一定的研究，為了解決遺傳演算法在接近收斂點時收斂速度慢的缺點，使用爬山法對其進行改進。
  9. This paper introduces the principles and characteristics of magnaporthe grisea mutagenesis induced by physical and chemical inductions and genetic transformation briefly and reviews the research advances of these techniques

    摘要系統地介紹了稻瘟病菌物理誘變、化學誘變和遺傳介導突變的原理、特點和研究進展，並評述了它們各自的優缺點。
  10. For the exhaustion algorithm calculating quantity being excessive in the correlation match algorithm, the method of correlation match search using the genetic algorithms is proposed

    針對相關匹配演算法中的窮舉演算法計算量過大的缺點，提出利用遺傳演算法進行相關匹配搜索。
  11. The research contents can be outlined as bellow : ( 1 ) it has analyzed the basic principle and characteristics of ga and investigated the ga coding strategy and its operators in detail

    論文主要研究工作和取得成果如下: 1 .研究遺傳演算法的基本原理及其優缺點，了解其廣泛的應用領域，特別是在電力系統的應用情況，並且詳細地分析了遺傳演算法的編碼策略與操作運算元。
  12. Then, two methods are applied to keep the diversified variety of colony : reserve two special units in new population and increase the mutation factor

    針對遺傳演算法的群體多樣性過低的缺點。提出了兩種改進方法，使得群體始終充滿多樣性。
  13. According to an analysis of the current various optimum methods, a new mixed type of genetic algorithm are proposed, which overcomes some typical limitations such as the decrease of hunting efficiency lack of hunting competence near the optimal solution. with a model for optimum design setup, the system brwcad are worked out with the advanced language visual basic6. 0 and the object - oriented technique

    此外，針對衡重式擋土墻常規設計存在的弊病，指出其優化設計的必要性與重要性，並在比較分析已有優化方法優缺點的基礎上，引入並提出了一種新型混合遺傳演算法進行優化設計，解決了臨近最優解搜索效率降低、搜索能力不足等缺陷。
  14. First, the basic theory of the competitiveness is analyzed, evaluating indexes which conclude relative and absolute indexes basic on the last literatures are set up. second, because the data are too many and computing time is too long, the competitiveness of science and technology of 30 areas are clustered using fuzzy clustering model, the areas of the whole nation are clustered several kinds and we can draw some conclusions of same kind. evaluating the competitiveness using single model can produce white noise, so combinational models which concluding neural network, fuzzy theory and genetic algorithm are brought forward to evaluate the competitiveness of areas which are in the same kind with fujian province in the test

    本文首先分析科技競爭力的基本理論，並根據以往研究科技競爭力文獻，建立包含絕對指標和相對指標的評價科技競爭力評價指標體系，其次，針對評價福建省科技競爭力在全國范圍內的排名情況數據較多，計算時間較長的具體情況，利用模糊神經網路模型對全國30個省市自治區科技競爭力水平進行聚類分析，將科技競爭力水平接近的地區聚為一類，得出科技競爭力水平相近地區情況，而後，針對已有文獻科技競爭力評價只是利用單一模型可能產生噪聲，影響評價結果，並且主觀性較強的缺點，本文將神經網路、模糊數學、遺傳演算法等智能演算法組合，利用組合評價模型對福建省和與福建省同在一類的其它地區的科技競爭力水平進行橫向、縱向評價，得出福建省在全國范圍內的科技競爭力水平排名。
  15. Firstly, influence factors of generalization of neural network are presented in this thesis, in order to improve neural network ’ s generalization ability and dynamic knowledge acquirement adaptive ability, a structure auto - adaptive neural network new model based on genetic algorithm is proposed to optimize structure parameter of nn including hidden layer nodes, training epochs, initial weights, and so on ; secondly, through establishing integrating neural network and introducing data fusion technique, the integrality and precision of acquired knowledge is greatly improved. then aiming at the incompleteness and uncertainty problem consisting in the process of knowledge acquirement, knowledge acquirement method based on rough sets is explored to fulfill the rule extraction for intelligent diagnosis expert system, by completing missing value data and eliminating unnecessary attributes, discretization of continuous attribute, reducing redundancy, extracting rules in this thesis. finally, rough sets theory and neural network are combined to form rnn ( rough neural network ) model for acquiring knowledge, in which rough sets theory is employed to carry out some preprocessing and neural network is acted as one role of dynamic knowledge acquirement, and rnn can improve the speed and quality of knowledge acquirement greatly

    本文首先討論了影響神經網路的泛化能力的因素，提出了一種新的結構自適應神經網路學習演算法，在新方法中，採用了遺傳演算法對神經網路的結構參數（隱層節點數、訓練精度、初始權值）進行優化，大大提高了神經網路的泛化能力和知識動態獲取自適應能力;其次，構造集成神經網路，引入數據融合演算法，實現了基於集成神經網路的融合診斷，有效地提高了知識獲取的全面性、完善性及精度;然後，針對知識獲取過程中所存在的不確定性、不完備性等問題，探討了運用粗糙集理論的知識獲取方法，通過缺損數據補齊、連續數據的離散、沖突消除、冗餘信息約簡、知識規則抽取等一系列的演算法實現了智能診斷的知識規則獲取;最後，將粗糙集理論與神經網路相結合，研究了粗糙集-神經網路的知識獲取方法。
  16. In the first part of this thesis, to cope with the low searching efficiency and premature of simple genetic algorithm ( sga ), a kind of improved genetic algorithm ( iga ) is presented

    本文首先針對簡單遺傳演算法（ sga ）中存在的收斂速度慢、易陷入局部極小點（即早熟）等缺點，對其進行了改進。
  17. New genetic algorithm with adaptive population size ( ngaaps ) is proposed to overcome premature convergence and slow convergent speed in the later evolution process of simple genetic algorithm

    摘要針對簡單遺傳演算法存在早收斂和在進化後期搜索效率較低的缺點，提出了一種新的種群數自適應遺傳演算法。
  18. A new genetic algorithm with adaptive population size ( ngaaps ) is proposed to overcome premature convergence and slow convergent speed in the later evolution process of simple genetic algorithm

    摘要針對簡單遺傳演算法存在早收斂和在進化後期搜索效率較低的缺點，提出了一種新的種群數自適應遺傳演算法。
  19. To compensate the shortage of the bigger test set of pure ant algorithm, the method of crossing ant algorithm and genetic algorithm is presented. meanwhile, the implementation methods of the objective function, selection operator, crossover operator, and mutation operator are given, and the test results are compared with the results of ant algorithm, based on standard sequential circuits iscas ' 89

    為彌補單純採用螞蟻演算法進行測試矢量生成時，測試矢量集過大的缺點，摘要提出了螞蟻演算法和遺傳演算法交叉的測試生成方法，給出了遺傳演算法的目標函數、選擇運算元、交叉運算元、變異運算元的實現方法。
  20. A genetic defect in a child, like lameness or blindness, he said, was not due to any defect in the mother or the father, but in the ovum or sperm of the parents which is today an accepted fact

    他說，一個孩子身上的遺傳缺點，例如是跛足，或者是失明，並不是歸因於母親或父親的任何過失，而是雙親的卵子或精液中今天所接受的真相。
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