遺傳模型 的英文怎麼說
中文拼音 [yízhuànmóxíng]
遺傳模型
英文
genetic model- 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)...
- 模 : 模名詞1. (模子) mould; pattern; matrix 2. (姓氏) a surname
- 遺傳 : [生物學] heredity; hereditary; inheritance; inherit
- 模型 : 1 (仿製實物) model; pattern 2 (制砂型的工具) mould; pattern3 (模子) model set; mould patter...
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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Considering the electrovalence, the curve of water consumption and the reliability of water supply, this paper respectively sets up the model based on the maximal flux and the model based on the expectation flux. it takes yearly expenditure converting value and yearly cistern converting value as target function and takes continuity equation, velocity of flow and compression resistance of cast iron pipeline as restrictions and sets up the pga model on optimal design of water supply networks
考慮到峰谷電價、用水量變化曲線及用水可靠性因素的影響,分別建立了以最高時流量設計管網的模型和以期望時流量設計管網的模型,以年費用折算值加上清水池年造價折算值為目標函數,以連續性方程、管中流速和鑄鐵管耐壓值等為約束條件,進行并行遺傳演算法對給水管網優化設計的實現。The main contributions of this dissertation are as follows : ( 1 ) a eugenic evolution strategy was proposed to improve the efficiency of the conventional simple genetic algorithm ( sga ) searching. the eugenic evolution genetic algorithm ( ega ) collects the population information along the evolution of children generations and constructs a deterministic optimization algorithm, which will be embedded in the evolution process at appropriate stage to speed up the local searching
由於優化方法在建模中有相當重要的作用,因此,接著對具有全局尋優性能的遺傳演算法進行了較為深入的研究,提出了基於優生演進策略的遺傳演算法( ega ) ,使尋優性能有較大的提高,並成功應用於化工領域中重油熱解模型參數的估計。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。Inputs to the model should be heritable plant characteristics.
模型的輸入端應該是可遺傳的植物特徵。Three genetic coefficients, including maximum phyllochron, elongation internode number and plant height, were used to describe the genetic differences in leaf blade and internode among different wheat varieties
模型引入3個品種參數,即最大葉熱間距、伸長節間數和株高,分別反映了不同小麥品種在葉片和節間等方面的遺傳差異性。Hidden markov models have been widely used for modeling sequences of weakly dependent random variables, with applications in as such as speech processing, neurophysiology and biology
隱馬爾可夫模型可應用於弱相依隨機變量的建模上,也可用作研究發音過程、神經生理學與生物遺傳等方面的工具。In the thesis, the parameters of all models are optimized by raga ( real coding based accelerating genetic algorithm )
在本文中,所有模型的參數估計均採用「基於實數編碼的加速遺傳演算法( raga ) 」來進行優化。According to the least twin multiplication to calculating the sensitivity index in several water production functions. thus, the writer obtains the fitted the value of the sensitivity index and the varied rule. at the same time, the writer puts forward a new method named rag a ( real coding based accelerating genetic algorithm ) and combines raga with dpsa to calculating the best irrigation system under the non - sufficient irrigation of well irrigation rice in sanjiang plain
根據《隨機水文學》理論中的時間序列分析法,建立了適合三江平原井灌水稻需水量預報的非平穩時序隨機模型;通過分析降雨隨機特性,選定季節性時序隨機模型,建立了適合三江平原井灌水稻降雨預報的月平均降雨模型;根據最小二乘法,計算出幾種常用水分生產函數中的敏感指數及敏感系數,進而得到三江平原適宜採用的水分生產函數漠型及模型中敏感指數的變化規律;本文提出遺傳動態規劃法( raga ? dp ) ,即採用改進的基於實數編碼的加速遺傳演算法( realcodingbasedacceleratinggeneticalgorithm ,簡稱raga )與動態規劃法( dpsa )相結合,推求非充分灌溉條件下三江平原井灌水稻的最優灌溉制度。These methods simp lify the issue, so their purposes are very clear
也有採用啟發式方法求解選址模型的,如遺傳演算法。However, this model cannot tell how the dominant mutations of the receptor genes, such as ers2 - 1, confer ethylene - insensitivity
但是這個遺傳模型仍無法很好的解釋第一亞家族和第二亞家族乙烯受體的作用機理。Quality of oil determined by the constituents and proportion of fatly acid components, and the understanding of heredity of fatty acid components is of importance to breeding for good quality soybean varieties
摘要利用5個大豆品種配製20個雜交組合,採用廣義種子遺傳模型分析了大豆脂肪酸組分的胚、細胞質和母體植株等3套遺傳體系的基因主效應和基因型環境效應。The obtained results do not support a major gene for body mass index in chinese, the discrepancies between our study and previous studies may result from ethnic difference between chinese and other populations ; the general model provides the best fit to the data, while the environmental model is the second parsimonious model, perhaps due to complex mode of body mass index inheritance ; a moderate heritability estimate is found for body mass index ( h2 = 0. 313 ), lower than that of other populations, this is presumably due to the fact that aside from the influence of genetic bases, body mass index is strongly influenced by environmental factors and that there is a low proportion of obese individuals in samples ( only 4. 1 % individuals have body mass index > 30 )
分離分析的結果表明, ( 1 )體重指數不存在主基因分離,不同於在其他非中國人群中檢測的結果,說明存在種群差異性; ( 2 )一般模型提供了最合適模型,環境模型是次之的嚴格模型,可能由於體重指數遺傳模式的復雜性所致; ( 3 )中國人群中體重指數具有適中的遺傳率( h ~ 2 = 0 . 313 ) ,低於其他人群中的結果,這是由於體重指數除了受遺傳因素影響外還受環境因素影響及樣本中低比例的肥胖個體( 4 . 1的個體bmi 30 )的原因。Genetic models were constructed for qtl mapping by two - dimensional searching. corresponding analysis methods were also proposed, which could estimate additive effects, dominance effects, epistatic effects of additive by additive, additive by dominance, dominance by additive, dominance by dominance, and could predict their interaction effects with environments
構建了可以估汁加性效應、顯性效應、加加、加顯、顯加、顯顯上位性效應以及預測這些效應與環境互作效應的qtl定位兩維搜索遺傳模型,提出了相應的分析方法。We performed familial correlation and complex segregation analyses ( class d regressive model ) for body mass index in a chinese sample composed of 401 nuclear families, with 1, 260 total individuals
本文通過對中國人群中體重指數的家系關聯分析和復雜分離分析( d回歸模型)來決定中國人群中體重指數的遺傳率以及遺傳模式。樣本由401個核心家庭共1 , 260個個體組成。Simulation studies for comparing genetics models with additive - dominance - maternal
互作效應遺傳模型的模擬比較Advance in developmental genetic models and analysis methods for quantitative traits
數量性狀發育遺傳模型及其分析方法的研究進展Dissecting of the signaling pathway has led to the establishment of a genetic model of ethylene signal transduction pathway
乙烯信號傳導途徑上各個元件及其突變體的發現,最終確立了乙烯信號傳導的遺傳模型。First, based on comprehension analysis of the present study status on optimizing method to displacement back analysis in underground engineering home and abroad, intelligent optimizing method, which fits the features of underground engineering, has been developed by introducing annealing algorithm and genetic algorithm and improving them. second, according to practical features of nonlinear displacement for underground engineering, the mechanical model on back analysis to initial ground stress and mechanical parameters of surrounding rock mass in underground engineering is established, which is based on the measuring results of displacement of convergence in underground holes. while, by introducing finite element method and combining improved annealing algorithm and improved genetic - annealing algorithm, the theory and method of elastic - plastic displacement back analysis to surrounding rock in underground engineering has been founded
首先,本文在綜合分析國內外地下工程優化位移反分析方法研究現狀的基礎上,引進模擬退火與遺傳演算法,並對其進行改進,建立了適合於地下工程問題特點的智能優化演算法;其次,根據地下工程非線性特點,基於地下工程洞周收斂位移量測結果,建立了用於地下工程初始地應力與圍巖力學參數反演分析的力學模型,並引進有限元分析手段,結合改進模擬退火演算法與改進遺傳-模擬退火演算法,分別建立了基於這兩種智能優化演算法的地下工程圍巖彈塑性位移反分析理論與方法,並開發了相應的分析計算程序,為地下工程圍巖穩定性與開挖順序優化分析奠定了基礎;然後,在上述基礎上,根據地下工程開挖施工順序優化設計的特點,建立了基於圍巖塑性區面積的地下工程開挖施工順序優化分析模型,基於改進模擬退火演算法與改進遺傳-模擬退火演算法建立了地下工程開挖施工順序優化分析方法,並開發了相應的分析計算程序;最後,將上述分析計算程序用於工程實例分析,探討了其應用方法,證明了該文研究成果的合理性和可靠性。Gaussian mixture model training method based on genetic algorithms and fuzzy approach
基於遺傳模糊高斯混合模型的訓練方法分享友人