種群規模 的英文怎麼說
中文拼音 [zhǒngqúnguīmó]
種群規模
英文
population size-
The method of modified simplex was applied to optimize the models, and the fitting results show that liu - logistic model was more suitable than logistic model to the actual growth trend of form. taxus chinensis var. mairei population, and the highest growth rate of basal area was the tenth age class, namely the phase when breast diameter was 68 ~ 76 cm
以胸高斷面積代替種群生物量，分別採用logistic常規模型及劉金福提出的logistic改進模型對南方紅豆杉種群的增長動態進行研究，運用改進單純形法對模型進行優化，擬合結果表明改進模型比logistic常規模型更符合南方紅豆杉種群的增長趨勢，南方紅豆杉種群的最大增長速度出現在第10齡級，即胸徑為68 76cm時期。Thirdly, resorting to cooperation - competition model of biomathematics, this thesis proposes a new co - evolution model. simulation results are shown to verify its effect and practicabilitv. last, standard methods for optimizing neural netvvorks are easily trapped into local optimization, and unable to adjust the structure of neural networks, thus their application is limited to certain extent
本文主要驗證和設計適應性操作運算元和小生境方法保持群體多樣性的能力，實驗表明兩種方法都能較好地達到目的；利用生物合作競爭模型設計協同演化來動態地改變群體規模，實驗表明該模型是有效的；人工神經網路是得到越來越廣泛應用的學習系統，但是由於學習演算法存在一定的缺陷，如易於陷入局部極值，難以調整網路的結構等，使神經網路的應用受到一定的限制。In this paper the authors first analyze the cost of cluster enterprises and market equilibrium, then suggest two methods to enlarge cluster scale, and point out that it is essential to increase agglomeration economies for industrial cluster development
本文在分析集群企業成本和市場均衡的基礎上提出了擴大集群規模的兩種方法，認為提高聚集經濟才是最根本的方法。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。In the genetic process of reproduction, crossover and mutation of the chromosomes in this method, these operators pr, pc and pm are produced randomly within some space, the scale of population and all kinds of genetic probability are also adjusted randomly so that the diversity individuals of population is ensured. the ga of dynamic population scale passes more information of paternal chromosomes to the offspring, which is beneficial to search the global optimization or quasi - global optimization
該方法在染色體進行繁殖、交叉、突變的遺傳過程中，在某一范圍內隨機選取p _ r ， p _ c ， p _ m ，動態調整種群規模，保證了種群個體的多樣性；選擇同父本分別進行三種遺傳過程使得父本染色體中有更多的信息傳遞給子代，這有利於搜索全域最優解或準最優解。Firstly, this part analyzes location, natural conditions and natural resources, population and labors, socio - economic elements, and the impacts of global political and economic environment change on unbalanced development of japanese regional economy. secondly, through analysis on regional development before the meiji reformation, industrialization, formation of dual structure and regional development after war, this part puts forward that unbalanced development is an objective law and regional development policies of government ca n ' t change structure of unbalanced development essentially. finally, this part sums up motive mechanism of unbalanced development of japanese regional economy, including location directional feature, scale economy, congregation and diffusion economy, putting forward that the overall effects of the three types of mechanisms stated above can be summarized as industrial group effects, which is also the important mechanism of unbalanced development of japanese regional economy
首先，分析了區位條件、自然條件與自然資源、人口與勞動力條件、社會經濟條件、國際政治經濟環境的變化對日本區域經濟非均衡發展的影響；其次，通過對日本明治維新前的地域開發、工業化及其二元結構的形成以及戰后的地區開發等過程進行了剖析，認為區域經濟非均衡發展是一個客觀規律，政府的地區開發政策並不能從根本上改變非均衡發展的格局；第三，總結了日本區域經濟非均衡發展的動力機制，主要包括區位指向性、規模經濟、集聚與擴散效應，指出上述三種機制的綜合作用可以概括為產業集群效應，即產業集群也是日本區域經濟非均衡發展的重要機制。Of the species, . characters of ecology, reproductive biology, genetic diversity, population genetic structure, endangering mechanisms, and sampling strategy have been studied in view of conservation biology. the results may be summarized as follows : by field investigation, we found that the localities recorded for four specimens of d. versipellis and d. pleiantha had disappeared, and most of the present populations are located in protected subforests. the distributional range of d. versipellis has also been reduced greatly, evidently, the number of present populations has decreased, the resources are reduced sharply, and the species are clearly endangered
從保育生物學的角度，對八角蓮種群生態學和生物學特性、遺傳多樣性水平和遺傳結構、瀕危機制及保育取樣策略進行了研究，結果如下：通過野外調查發現，原標本記載的一些八角蓮和六角蓮種群已難以找到，該類群目前多分佈於自然保護區外圍次生林地帶，分佈范圍明顯縮小，現存群體的規模也明顯減少，資源量貧乏，物種處于瀕危狀況。Large - scale parallel computation is main model of cluster - based applications. at the same time, large - scale batch computation also is an important model of cluster - based applications
大規模并行計算是集群系統的主要應用模式，但是，大量批作業提交與處理也是一種較廣泛的應用模式。Recently years, there is a new optimization method named genetic algorithms ( ga ) which is based on the numbers of genus groups. this method is a kind of random searching method which simulated natural selection and evolution. compared with traditional optimization method, genetic algorithms has two notable characters. one character is latent parallel and the other is seaching in the whole area. and genetic algorithms has some advantage which traditional method do n ' t have, for example, in genetic algorithms we did n ' t need the calculation of grade
遺傳演算法[ geneticalgorithms ，簡稱ga ]是近些年來出現的一種模仿自然選擇與進化的基於種群數目的隨機搜索演算法，是優化領域的一個新成員。與常規優化演算法相比，遺傳演算法具有隱含并行性和全局搜索特性這兩大顯著特徵，並具有一些常規優化演算法所無法擁有的優點，如不需梯度運算等。Abstract : biological invasions are a continuous feature of a non - equilibrium world, ever more so as a result of accidental and deliberate introductions by mankind. while many of these introductions are apparently harmless, others have significant consequences for organisms native to the invaded range, and entire communities may be affected. here we provide a survey of common models of range expansion, and outline the consequences these models have for patterns in genetic diversity and population structure. we describe how patterns of genetic diversity at a range of markers can be used to infer invasion routes, and to reveal the roles of selection and drift in shaping population genetic patterns that accompany range expansion. we summarise a growing range of population genetic techniques that allow large changes in population size ( bottlenecks and population expansions ) to be inferred over a range of timescales. finally, we illustrate some of the approaches described using data for a suite of invasions by oak gallwasps ( hymenoptera, cynipidae, cynipini ) in europe. we show that over timescales ranging from 500 10000 years, allele frequency data for polymorphic allozymes reveal ( a ) a consistent loss of genetic diversity along invasion routes, confirming the role of glacial refugia as centres of genetic diversity over these timescales, and ( b ) that populations in the invaded range are more subdivided genetically than those in the native range of each species. this spatial variation in population structure may be the result of variation in the patchiness of resources exploited by gallwasps, particularly host oak plants
文摘:生物入侵是不均衡世界的一個永恆話題，尤其是當人類有意或無意地引入物種后.很多引入顯然是無害的，但另外一些則有著嚴重的後果，會給入侵地的生物以至於整個生物群落造成影響.本文總結了分佈區擴張的常見模式，概述了它們對遺傳多樣性和種群結構式樣所造成的影響.描述了如何根據以一批遺傳標記所得到的遺傳多樣性式樣來推斷入侵途徑，來揭示伴隨擴張選擇和漂變在形成種群遺傳樣式中的作用.本文對日益增多的群體遺傳學方法進行了總結，這些技術可以用來在不同的時間尺度上推斷種群規模所發生的巨大變化（瓶頸效應及種群擴張） .最後，我們以歐洲櫟癭蜂（膜翅目，癭蜂科，癭蜂族）一系列入侵的數據為例對一些方法進行了說明.從500 10000年的時間尺度上，多態的等位酶位點上等位基因頻率的數據表明: 1 ）遺傳多樣性沿入侵路線呈不斷下降的趨勢，支持了冰河期避難所作為遺傳多樣性中心的作用; 2 ）入侵地區的種群與該物種原產地的種群相比，遺傳上的分化更為強烈.這種種群結構在空間上的變異可能是被櫟癭蜂開發的資源尤其是櫟樹寄主在斑塊上出現變異的反映It can be concluded from the experiment results that hatchery seed has lower genetic variation and large - scale hatchery seed releasing affects the genetic diversity of the natural population. the shrimp distributed along china coast in bohai sea and yellow sea may consist of more than one populations. the viral disease resistant ability of f. chinensis is proved to be genetically inherited and can be improved by genetic selection
一通過對實驗結果的進一步分析認為：中國對蝦人工育苗的過程使後代群體的遺傳多樣性下降，人工培育苗種的大規模放流影響了自然群體的遺傳多樣性； ，分佈於我國沿海的中國對蝦可能由多個自然群體構成，還存在未被發現的種質資源：中國對蝦抗wssv病毒感染是由遺傳決定的，選育可提高中國對蝦對wssv的抗性。A flexible scheduling method of multigroup parallel evolutionary programming based on simulated annealing
基於模擬退火多種群并行進化規劃的柔性調度方法The mass revolutionary organizations exposed the kind of exploitation done by this landlord and called on the people to take mass action
群眾革命組織揭發地主這種剝削行為，並號召人民採取大規模的行動。( 3 ) the span analysis of the genetic operators. 8 schemes were provided to analyze the relation of the genetic operators such as population size, cross probability, mutation probability. at last, a optimum group of genetic operators was selected
提出8種方案來分析遺傳操作運算元（種群規模、交叉概率和變異概率）之間的聯系，並根據精度最高原則最終確定一組合適的遺傳操作運算元。Qga combining the genetic algorithm and the quantum information theory has a large search space with small population and a good global search capability, while image sparse decomposition based on mp is an optimal problem, so it can be fast solved by qga
量子遺傳演算法能用較小的種群規模實現較大的空間搜索，全局尋優能力強，基於匹配追蹤的圖像稀疏分解是最優化問題，因此可用量子遺傳演算法快速實現。Router congestion control strategies are also proposed. secondly, a new multicast routing algorithm based on double chromosomes genetic algorithm is realized. the simulation results show that this algorithm can get better convergent effect and select best routing under proper system parameters
然後重點介紹了本文提出的一種基於雙倍體遺傳演算法的組播路由演算法，模擬結果表明該演算法能夠在參數（種群規模、浙江工業大學碩士學位論文摘要交叉率及變異率）選擇適當的情況下，取得較好的收斂效果，並可以確定最優路由。The coding of the variables that describe the problem is always large. in order to find the best optimal result, it needs the larger population and the longer course of optimization. that will spend much time and money, so the appropriate population size is a factor that affects the efficiency of genetic algorithm
在應用遺傳演算法時，初始種群的產生一般是隨機的，它往往需要的編碼長度很大，導致需要很大的種群規模或者很長的進化過程才能有較好的優化效果，這將耗費大量的計算時間和費用。In consideration of the defects of conventional ga, an improved ga has been investigated in this paper. the evolution speed and quality of the population are directly influenced by the change of the number of chromosomes in ga and by whether the paternal excellent information is passed to the offspring as much as it can. in regard to the questions existing in ga, an algorithm with dynamic population scale is provided in this paper
在對模擬電荷配置的程序化實現方面，本文採用智能優化方法? ?遺傳演算法（ ga ） ，不過本文針對傳統ga - csm中遺傳演算法的定種群規模遺傳使得父本染色體的多樣性受到限制及同代非同父本進行繁殖、交叉、突變的遺傳方法可能收斂于局部極小值而得不到全局最優解的問題，對其加以改進，提出了一種新方法? ?變種群規模的遺傳演算法。This algorithm can identify and choose in - core or out - of core algorithm based on different scale of computation and cluster during each computing phase. and parallelization during each phase is implemented. this algorithm can solve the residual equations parallelly and the current data distribution of residual equations does not change
（ 4 ）給出了一種可以在計算的每一個階段根據不同的計算規模和機群規模，自動識別選用內存或外存演算法的邊界元子域并行演算法；實現了各主要計算步驟的并行化；對于剩餘方程組的并行求解，演算法可以在不改變當前數據分佈狀態下，實行并行求解。This paper reviews the relationships between cluster size and firm performance - positive, negative and nonlinear relationships. based on the previous research, it analyzes how to determine the optimal cluster size
摘要主要對國外學者關于集群規模與公司業績的三種關系?正相關、負相關和非線性相關進行了較為詳細的綜述和理論闡釋，並討論了如何確定集群的最優規模。分享友人