genetic value 中文意思是什麼
genetic value
解釋
遣傳值-
The results showed that the mean proportion of polymorphic loci ( ppb ) of anabasis aphylla, which comprised 3 subpopulations ( 58 individuals sampled ), generated by 16 primers was 94. 56 %, the value of ppb of ceratocarpus arenarius, which had 4 subpopulations ( 80 individuals sampled ), using 16 primers was 98. 00 %. the paper had proved that the higher genetic diversity and the genetic differentiation existed in the populations of boih anabasis aphylla and ceratocarpus arenarius, while the latter had much more genetic diversity than the former. moreover, the study discussed the shannon information index and nei ' s gene diversity index of the two species natural populations, which indicated that there were more genetic variations within the subpopu
另外，通過rapd資料的聚類分析及相關性分析研究，發現無葉假木賊和角果藜自然種群的遺傳結構與綠洲沙漠過渡帶的微生境生態因子（主要是土壤因子）相關，其中無葉假木賊亞種群遺傳多樣性水平不僅與土壤含水量（ w ） 、鉀鈉離子濃度（ k + na ）和氯離子濃度（ cl ）呈顯著的正相關（ p 0 . 05 ） ，還與土壤中有機質（ som ） 、全氮（ nt ）和全磷（ pt ）含量呈顯著的負相關；同時，角果藜種群的遺傳多樣性水平與土壤中有機質（ som ）和全氮（ nt ）含量呈顯著的正相關，而與co _ 3 ~ （ 2 - ）濃度呈顯著的負相關；除此之外，其它土壤生態因子與兩物種遺傳多樣性水平的相關性均不顯著（卜0 . 05 ） 。 -
Genetic material of actual or potential value
指具有實際或潛在價值的遺傳材料。 -
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。 -
Instruction detection technology is core in instruction detection system, it include abnormity instruction and abused instruction detection, on the basis of traditional network security model, ppdr model, instruction detection principle and instruction technology analysis, the author has brought forward instruction detection method based genetic neural networks, adopted genetic algometry and bp neural networks union method, and applied in instruction detection system, solve traditional bp algometry lie in absence about constringency rate slowly and immersion minim value
入侵檢測分析技術是入侵檢測系統的核心，主要分為異常入侵檢測和誤用入侵檢測。作者在對傳統網路安全模型、 ppdr模型、入侵檢測原理以及常用入侵檢測技術進行比較分析的基礎上，提出了一個基於遺傳神經網路的入侵檢測方法，採用遺傳演算法和bp神經網路相結合的方法?遺傳神經網路應用於入侵檢測系統中，解決了傳統的bp演算法的收斂速度慢、易陷入局部最小點的問題。 -
The subject is reviewed on the value of low chilling peach and nectarine varieties, breeding history, breeding characters, genetic background, breeding objective and introduction of the advanced varieties as well as the breeding objective in china
從短低溫桃、油桃品種的價值、育種歷史、特點、遺傳背景、主要育種目標和優良品種介紹等方面概述了短低溫桃品種的研究進展，提出了我國短低溫桃育種的目標。 -
Abstract : the subject is reviewed on the value of low chilling peach and nectarine varieties, breeding history, breeding characters, genetic background, breeding objective and introduction of the advanced varieties as well as the breeding objective in china
文摘:從短低溫桃、油桃品種的價值、育種歷史、特點、遺傳背景、主要育種目標和優良品種介紹等方面概述了短低溫桃品種的研究進展，提出了我國短低溫桃育種的目標。 -
The numerical simulation equations of the border curves in term of and as well as the matching rules and the frequency dependence of microwave electromagnetic parameters of a broad - band homogeneous absorbing coating with a finite value of reflection loss are available. these results pointed out the direction to develop rams ". according to the radar - absorbing model, the optimized design of rams with thin - layer, light - weight, broadband and strong - absorbing is available by the simple genetic algorithms, which can effectively conduct the research work of rams to the detail. small but completely, the electromagnetic parameter ' s databases of rams that based on actual microwave absorbers have been set up, the object function has been constructed which conform to the involved goals, the adaptive coding measure is taken which extends the coding length dynamically adapting to the condition of the number of actual absorbers or the precision of thickness and absorber - volume - percentage, the decoding technique is initiated which satisfies light - weight and strong - absorbing as well as thin - layer and broadband by adopting of tracing variable restricting conditions dynamically to control total thickness. when decoding, the variable restricting conditions of thickness are dynamically traced, so gain the radar absorbing coatings of light - weight multiple - layer single - ingredient. similary, of thickness and absorber - volume - percentage, of light - weight multiple - layer multiple - ingredient. also, the rams ' demand to radar - absorb performance as frequency is met making use of the penalty function
作為遺傳演算法的具體實施：根據本實驗室近來研製的吸波材料，建立了吸波材料的相關數據庫；構造了能真實體現「薄、輕、寬、強」優化目標的目標函數；根據材料的實際數量以及塗層厚度精度要求、吸收劑體積分數精度要求，建立了能動態擴展相應碼長的自適應編碼方法；首創了通過動態跟蹤變量的約束條件來控制塗層總厚度的解碼技術，以此實現了在不弱化寬頻、高強的吸波性能目標的同時，兼顧到薄層、輕質的使用性能要求；在解碼時通過動態跟蹤厚度變量的約束條件，實現了多層單組分吸波塗層對重量輕的要求；通過動態跟蹤厚度變量的約束條件和吸收劑體積分數的約束條件，實現了多層多組分吸波塗層對重量輕的要求；使用權重系數變化法，實現了吸波塗層的分頻段吸波性能要求。 -
Genetic algorithm is used to find arrangement information after first phase matching. rough match result of one arrangement is used as its fitness value in the paper
第一個階段匹配后，本文使用遺傳演算法尋找圖像序列位置關系，該遺傳演算法使用粗略匹配得到的結果作為一種位置關系的適應度。 -
Based on natural selection, it executes three same and simple genetic operators : selection, crossover and mutation. under the leading of fitness value, it makes an efficient searching in complex spaces until acquiring the best result
它基於自然選擇的原理，通過循環執行相同的、簡單的選擇、雜交和變異三種遺傳操作，並在適應度函數值的引導下對復雜的解空間進行有效地搜索，直到獲得最優的解。 -
Finally, simulation experiments, the different parameters set out under the track, population size of the different fitness value of statistical analysis, the results showed that use of genetic algorithms in robot path planning is effective and feasible
最後通過模擬實驗，對不同參數設置下規劃出的路徑進行比較，不同種群大小的適應度值進行統計分析，結果表明，遺傳演算法應用在機器人路徑規劃中是有效的，可行的。 -
It is applicable to various structural distribution networks. while resolving the " large area restoration ", the genetic algorithm execute three same and simple genetic operators : selection, crossing and mutating. it make a self - adaptable and probability overall searching under the leading of fitness value in the whole searching scale until acquiring the best result
在求解網路故障后重構問題時，互動式模糊遺傳演算法通過循環執行相同的、極其簡單的選擇、雜交和變異三種遺傳操作，並在適應度函數值的引導下在搜索空間進行自適應概率性全局搜索，直至獲得全局最優解。 -
Twenty f1 combinations crossed among 5 varieties and strains different in fiber properties according to complete diallel crossing design were used to evaluate the heterosis and gene action of boll weight and lint percentage in high quality fiber property varieties in upland cotton in 1998 1999 for two year successively at nanjing. it was indicated that there existed small interactions with the environmental factors without maternal effects and the additive gene effect was in chief, attaining to 51. 2 % and 65. 4 % respectively for boll weight and lint percentage. the dominant effect was also in higher rate, 32. 6 % and 16. 8 % respectively. the population mean heterosis of boll weight and lint percentage over the mid - parental mean were relatively prominent 13. 3 % and 3. 5 % respectively in extreme significance. however, boll weight showed no significantly surpassing parental f1 heterosis over the better parent based on population mean ( 2. 0 % ) ; while the lint percentage expressed significant negative heterosis value ( - 2. 1 % ). the gene actions were in conformity with the heterosis expression. it was shown clearly that the f1 combinations crossed between parents with similar performances had relatively high dominant effects and significant positive f1 surpassing parental heterosis ( f1 heterosis over the better parent ) ; while no f1 combination crossed between the parents with prominent mutual difference surpassed the higher parent in yield components, which indicated that among those parents with less difference and close relationships, there still existed sufficient genetic variation or certain mechanism for creating variation and achieving greater advances in breeding. correlation analyses also indicated that there still existed severely undesirable negative correlation between yield and fiber properties as well as the difficulties for their simultaneous improvements
利用5個具有不同纖維品質性狀的品種（系）配製完全雙列雜交組合20個，通過親本和f1的2年隨機區組試驗發現產量性狀的鈴重和衣分與環境的互作效應小，不存在母體效應，並以加性遺傳效應為主，分別占表型方差的51 . 2 %和65 . 4 % ;顯性遺傳效應所佔的比率也較高，分別為32 . 6 %和16 . 8 % .鈴重和衣分的群體平均優勢較大，分別為13 . 3 %和3 . 5 % ，達到了極顯著;鈴重的超親優勢為2 . 0 % ，不顯著;衣分為顯著的負值（ - 2 . 1 % ） .遺傳分析與雜種優勢結果一致.具體表現在產量性狀上，親本相當配製的組合雜合顯性較高，其超親優勢正向顯著，而極值親本（差異較大）所配組合沒有超過高親的.這表明親本差異小、親源關系較近的親本中仍然存在足夠的遺傳變異或某種機制以創造變異使育種取得更大的進展.相關分析表明了仍然存在嚴重的品質與產量的負相關，遺傳改良的難度較大 -
Flaming tulips. blue roses. what dutch growers of old and dr tanaka ' s employers both grasped is that rarity, and hence economic value, can be created by genetic manipulation
火紅的鬱金香，藍色的玫瑰。荷蘭老一代花卉栽培者和田中博士的老闆都明白，物以稀為貴，而「稀」則可來自基因調控。 -
In this text, we first do some research on the genetic algorithm about clustering, discuss about the way of coding and the construction of fitness function, analyze the influence that different genetic manipulation do to the effect of cluster algorithm. then analyze and research on the way that select the initial value in the k - means algorithm, we propose a mix clustering algorithm to improve the k - means algorithm by using genetic algorithm. first we use k - learning genetic algorithm to identify the number of the clusters, then use the clustering result of the genetic clustering algorithm as the initial cluster center of k - means clustering. these two steps are finished based on small database which equably sampling from the whole database, now we have known the number of the clusters and initial cluster center, finally we use k - means algorithm to finish the clustering on the whole database. because genetic algorithm search for the best solution by simulating the process of evolution, the most distinct trait of the algorithm is connotative parallelism and the ability to take advantage of the global information, so the algorithm take on strong steadiness, avoid getting into the local
本文首先對聚類分析的遺傳演算法進行了研究，討論了聚類問題的編碼方式和適應度函數的構造方案與計算方法，分析了不同遺傳操作對聚類演算法的性能和聚類效果的影響意義。然後對k - means演算法中初值的選取方法進行了分析和研究，提出了一種基於遺傳演算法的k - means聚類改進（混合聚類演算法） ，在基於均勻采樣的小樣本集上用k值學習遺傳演算法確定聚類數k ，用遺傳聚類演算法的聚類結果作為k - means聚類的初始聚類中心，最後在已知初始聚類數和初始聚類中心的情況下用k - means演算法對完整數據集進行聚類。由於遺傳演算法是一種通過模擬自然進化過程搜索最優解的方法，其顯著特點是隱含并行性和對全局信息的有效利用的能力，所以新的改進演算法具有較強的穩健性，可避免陷入局部最優，大大提高聚類效果。 -
Combining with the time difference value of the pressure wave getting to both ends of the pipeline, adopts the genetic arithmetic to search the leak site of the pipeline
結合管道兩端接收到負壓力波的時間差，採用遺傳演算法搜索管道內的泄漏點。 -
Genetic algorithm is an adaptive global optimal algorithm that simulates the inheritance and evolution of the biology. the whole course of finding the best value depends on probability
遺傳演算法是一種模擬生物在自然環境中的遺傳和進化過程而形成的一種自適應全局優化概率搜索演算法。 -
According to the target value analyse and air defense optimal firing distribution, the optimal firing distribution model is established based on genetic algorithm, so the fire unit efficiency is exploited fully and the most damage efficiency is got
摘要結合戰場目標價值分析，根據防空兵火力分配情況，運用遺傳演算法建立了最佳火力分配模型，使防空武器最大限度的發揮火力單位效能，達到最大毀傷效果。 -
Qiupu river mandarinfishes have higher intra - population similarity index value than the other two populations, which showed that there were less genetic variations in qiupu river population, as well as differentiations have been generated between qiupu river mandarinfishes and changjiang mandarinfishes. 2. the genetic distance between qiupu river population and changjiang population is the cloest, which is 0. 0411, and genetic distance between qiupu river population and wanfuhu population, between changjiang population and wanfuhu population is 0. 1766, 0. 1230 respectively
秋浦河鱖魚、長江鱖魚、萬佛湖鱖魚群體內的遺傳相似性系數分別為： 0 . 9063 、 0 . 8839 、 0 . 8931 ；群體間的遺傳相似性系數分別為：秋浦河鱖魚和長江鱖魚0 . 8590 、秋浦河鱖魚和萬佛湖鱖魚0 . 7956 、長江鱖魚與萬佛湖鱖魚0 . 8178 。 -
Not only is it an important forage grass, but also has an important ecological and genetic value because of its drought - resistant, cold - resistant and barren - tolerant traits
冰草不僅是一種重要的牧草，而且由於它的抗旱、抗寒和耐荒漠的特性，又是一種具有重要生態和遺傳價值的植物材料。 -
Solution method of matrix units of genetic variance and covariance in estimating cows ' genetic value
協方差的最優二次型無偏估計
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