遺傳的缺陷 的英文怎麼說

中文拼音 [yízhuàndequēxiàn]
遺傳的缺陷 英文
genetic shortcomings
  • 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）...
  • 的 : 4次方是 The fourth power of 2 is direction
  • 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 ...
  • 陷 : Ⅰ名詞1 （陷阱） pitfall; trap2 （缺點） defect; deficiency Ⅱ動詞1 （掉進） get stuck or bogged do...
  • 遺傳 : [生物學] heredity; hereditary; inheritance; inherit
  • 缺陷 : defect; fault; faultiness; vitium; lesion; flaw; disorder; imperfection; drawback; blemish
  1. This is due to genetic deficiency of the adrenocortical enzyme which normally converts that substrate to a nonandrogenic steroid in the biosynthesis of cortisol

    這是由於在皮質醇生物合成中將底質轉變為非產生男性特徵類固醇的腎上腺皮質酶遺傳缺陷所致。
  2. Genotyping using comparative dna analysis to determine the predisposition of individuals to certain diseases was then performed

    然後用比較dna分析的方法做基因分型來判定個體對某種疾病的遺傳缺陷。
  3. 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
  4. Such therapy - - the actual correction or replacement of defective gene sequences in the embryo or the adult - - is the holy grail of genetic medicine

    這樣的治療法一對胚胎中或成人體內的缺陷性基因序列進行切實可行的修正或替換? ?是遺傳醫學的聖杯。
  5. They are applying these lessons to other genetic defects that cause visual impairment

    他們正將這些經驗用於其他引起視覺障礙的遺傳性缺陷。
  6. The author of the paper presents a new idea on the improvement of the traditional genetic algorithm at the angle of operators

    摘要針時傳統遺傳演算法的缺陷，提出了一種新的改進思路，即從遺傳運算元的角度來改進遺傳演算法。
  7. In the searching computation the new offspring is obtained according to the whole information of its parents

    針對簡單遺傳演算法容易陷入局部最優值的缺陷，借鑒和聲演算法產生新解的方式來產生遺傳演算法中的子代個體。
  8. Indian and pakistani troops traded small - arms fire on tuesday along their tense frontier in kashmir. they were standing in the middle of the yard trading insults. genetic engineering

    其名詞形式是gene .關于這個詞，有許多頗有用的搭配，象genetic defects遺傳性缺陷， genetic code遺傳密碼， genetic counseling遺傳咨詢
  9. Dc has two attractive characteristics : ( 1 ) dc can make genes in a chromosome keep good diversity. dc overcomes the evil of traditional crossovers, which cause gas get into prematurity. ( 2 ) dc well reduces algorithms " generations by guiding them to search in global optimal ' s neighborhood space

    通過對交叉運算元產生新個體的機理以及實際問題的特徵進行分析后，本文提出一種基於非等位基因交叉運算的錯位交叉運算元，該運算元的主要優點在於： （ 1 ）能夠使種群個體的基因值更加有效地保持多樣性，克服傳統交叉運算元下演算法易於陷入局部最優解的缺陷； （ 2 ）引導遺傳演算法在最優解鄰域內搜索，從而提高演算法的優化速度。
  10. Chaos optimization search operation is introduced to simple genetic algorithm operation for mending the defect that simple genetic algorithm is premature easily

    在基本遺傳操作中引入了混沌優化搜索操作，克服了基本遺傳演算法容易「早熟」的缺陷。
  11. Aimed at the ga ' s disadvantages : weak local optimization, easiness of falling into local extremum, this thesis presents an improved ga which introduces two operators " local search " and " adaptively avoid entropy decreasing "

    針對遺傳演算法局部搜索能力差及容易陷入局部極值點的缺陷，提出一種改進的遺傳演算法，引入了「局部搜索?均值方差閥值」和「自適應防止熵減」兩個運算元。
  12. Appling immune algorithm to optimum disposal of shunt capacitors on distribution network was studied according to reality. methodology of shunt, capacitors disposal on distribution network is presented and optimum capacitors disposal program was got through simulation arithmetic. this paper presented a practical capacitors grouping program also. these programs were validated practial and economical. by comparing the astringency of immume algorithm to genetic algorithm the conclution that immune algoritnm has faster caculation speed and better global convergence ability in optimum disposal of shunt capacitors on distribution network was got

    模擬計算得出電容器配置方案，並對電容器進行合理分組，經過分析得出該配置方案可行而且經濟。同時，本文對遺傳演算法和免疫演算法的收斂性進行比較，得出免疫演算法收斂性較好，收斂速度快。配電網路的復雜，以往的優化演算法在解決配電網電容器配置問題時由於演算法的缺陷，往往缺乏足夠的優化手段。
  13. Gcd may be the result of teratogenic insult rather than a genetic defect < 5, 7 >, and may be at least partially reversible in some patients < 5 >

    腎小球囊性腎病可能是由致畸的創傷所致，而遺傳性缺陷的可能要相對小一些< 5 ， 7 > ，這種改變至少在某些病人是局部可逆的< 5 > 。
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    在不限制上述規定的前提下，閣下同意： ups及其關聯公司對資料的任何錯誤不準確遺漏或缺陷不及時或不真實，或在傳輸資料予閣下的過程中出現任何延誤或中斷，不論原因和持續時間，均不承擔責任。
  15. This dissertation proposes a new and effective optimization - - immune genetic algorithm ( iga ) on the analysis of the drawbacks of traditional ga ' s and developing the useful and discarding the useless of existing immune theories. this dissertation aims to make the designed algorithm resolve the contradiction of local search capability and global search capability effectively and keep the population diversity during the evolving progress so as to remedy the demerits of traditional ga ' s

    本文在分析了傳統遺傳演算法的缺陷機理和揚棄了已有免疫理論的基礎上，提出了一種新型有效的優化演算法? ?免疫遺傳演算法（ immunegeneticalgorithm ， iga ） ，旨在通過對生物體實際免疫行為的模擬，使設計的優化演算法能夠有效解決全局搜索能力和局部搜索能力的矛盾、維持演化過程中種群的多樣性，從而彌補傳統遺傳演算法的缺陷。
  16. ( 6 ) by the research of clustering capability of som, associated with fuzzy clustering analysis, we can realize the diagnosis of multiple faults of turbine generator - set. ( 7 ) by the analysis of the fuzzy - c partition and the genetic algorithm, a new method combing with them is put forward. this method can prevent the fuzzy - c partition from the local least point and can diagnose the steam turbine generator - set ' s multiple faults more effectively

    （ 7 ）通過模糊c -劃分極易陷入局部極小值和遺傳演算法有全局尋優特點的分析，提出了將兩者相結合的聚類分析新方法，不僅可克服模糊c -劃分陷入局部極小點的缺陷，而且能對汽輪發電機組的多故障進行有效的診斷。
  17. A method of finding the best location in multi - dimensional space of particles is presented to achieve the optimal decision of multi - stage operation, the global convergence performance of pso is improved by importing a cross operator of ga and using a self - adapting inertia

    提出以確定微粒群在多維空間中的最優位置來實現多階段優化調度決策的方法，並針對演算法易陷入局部最優的缺陷，引入遺傳演算法中的「雜交」因子以及採用自適應的慣性權重，以改進其全局優化能力。
  18. Aim at bp arithmetic shortcoming of tend plunging local minimum value, applied amelioration inherit arithmetic in taking object as the approach of searching information to overcome local convergence of nn

    針對bp演算法具有易於陷入局部最小值的缺點，應用改進遺傳演算法直接以目標函數值作為搜索信息途徑，克服神經網路的局部收斂的缺陷。
  19. On the above, to overcome the pre - maturity and low speed of search in the late phase of multicast routing algorithm based on genetic algorithm, the author gives the multi - population parallel annealing genetic multicast routing algorithm to solve the bandwidth, delay, delay jitter and packet loss constrained least - cost multicast routing problem, which combines the

    在此基礎上，將多種群并行技術和退火技術相結合，以克服現有基於遺傳演算法的組播路由演算法過早收斂和後期搜索速度較慢的缺陷，且使用樹狀編碼方法，提出求解帶寬、時延、時延抖動和分組丟失率約束的代價最小組播樹的多種群并行退火遺傳組播路由演算法。
  20. This algorithm has conquered the deficiencies of the traditional optimization methods that require calculating the derivative of the objective function and that are easily trapped in the local optimal areas. but the shortcoming of ga is its poor search efficiency. the thesis suggests integrating the gradient - based algorithm sqp into ga, and thus combining the global search ability of ga and fast convergence ability of sqp, which results in two hybrid algorithms ga - sqp - i and ga - sqp - ii

    該方法克服了傳統優化方法需要計算目標函數導數且容易陷入局部最優的缺陷，但遺傳演算法本身具有搜索效率低的缺陷，本文提出將其與傳統梯度演算法sqp相結合，發揮遺傳演算法的全局搜索能力和梯度演算法收斂快的優勢，開發了兩種混合演算法ga - sqp - i和ga - sqp - 。
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