evolutionary convergence 中文意思是什麼

evolutionary convergence 解釋
進化趨同
  • evolutionary : 發展的
  • convergence : n. 1. 聚合，會聚，輻輳，匯合。2. 集合點；【數、物】收斂；【生物學】趨同（現象）。
  1. The resemblance of families such as the verbenaceae and labiate is the result of evolutionary convergence.

    科的相似性，如馬鞭草科與唇形科的相似性，是進化上的趨同造成的。
  2. 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
  3. The characteristics of quantum computing and the mechanism of immune evolution are analyzed and discussed. inspired by the mechanism in which immune cell can gradually accomplish affinity maturation during the self - evolution process, a immune evolutionary algorithm based on quantum computing ( mqea ) is proposed. the algorithm can find out optimal solution by the mechanism in which antibody can be clone selected, memory cells can be produced, similar antibodies can be suppressed and immune cell can be expressed as quantum bit ( q - bit ). it not only can maintain quite nicely the population diversity than the classical evolutionary algorithm, but also can help to accelerate the convergence speed and converge to the global optimal solution rapidly. the convergence of the mqea is proved and its superiority is shown by some simulation experiments in this paper

    分析和探討了量子計算的特點及免疫進化機制，並結合免疫系統的動力學模型和免疫細胞在自我進化中的親和度成熟機理，提出了一種基於量子計算的免疫進化演算法.該演算法使用量子比特表達染色體，通過免疫克隆、記憶細胞產生和抗體相似性抑制等進化機制可最終找出最優解，它比傳統的量子進化演算法具有更好的種群多樣性、更快的收斂速度和全局尋優能力.在此不僅從理論上證明了該演算法的收斂，而且通過模擬實驗表明了該演算法的優越性
  4. Abstract : the characteristics of quantum computing and the mechanism of immune evolution are analyzed and discussed. inspired by the mechanism in which immune cell can gradually accomplish affinity maturation during the self - evolution process, a immune evolutionary algorithm based on quantum computing ( mqea ) is proposed. the algorithm can find out optimal solution by the mechanism in which antibody can be clone selected, memory cells can be produced, similar antibodies can be suppressed and immune cell can be expressed as quantum bit ( q - bit ). it not only can maintain quite nicely the population diversity than the classical evolutionary algorithm, but also can help to accelerate the convergence speed and converge to the global optimal solution rapidly. the convergence of the mqea is proved and its superiority is shown by some simulation experiments in this paper

    文摘:分析和探討了量子計算的特點及免疫進化機制，並結合免疫系統的動力學模型和免疫細胞在自我進化中的親和度成熟機理，提出了一種基於量子計算的免疫進化演算法.該演算法使用量子比特表達染色體，通過免疫克隆、記憶細胞產生和抗體相似性抑制等進化機制可最終找出最優解，它比傳統的量子進化演算法具有更好的種群多樣性、更快的收斂速度和全局尋優能力.在此不僅從理論上證明了該演算法的收斂，而且通過模擬實驗表明了該演算法的優越性
  5. Then this paper discusses the following three research emphasis : 1. in parts, diversity - guided evolutionary algorithms which is applied in the path planning of robots avoids the prematurely convergence

    然後討論了本文以下三個方面的研究重點： 1 、在移動機器人全局路徑規劃中採用多樣性指導進化演算法，它在一定程度上解決了早熟現象。
  6. A new kind of evolutionary strategy and its global convergence properties

    一種新的進化策略及其全局收斂性
  7. Lying at the core part of qinling orogenic belt, the weishancheng au - ag polymetallic ore belt is a complex tectonic belt produced by repeated convergence, piecing together and welding of several strata and terrains which were formed in different tectonic settings and had their respective formation characteristics as well as independent deformation, metamorphic and tectonic evolutionary sequences

    摘要圍山城金銀多金屬成礦帶處于秦嶺造山帶東段核部，其由多個形成於不同構造環境，有著各自獨立的建造特徵、變形變質和構造演化序列的構造地層地體，經多次聚合后拼貼並焊結為一體的復雜構造帶。
  8. Correspondence between parts or organs arising from evolutionary convergence

    異體同功由進化趨同而產生的部分或器官之間的對應現象
  9. At first, through the deeply analysis of neural networks ( nn ) and mind evolutionary algorithm ( mea ), their idea souls, mostly algorithms, features and applying develops, the paper rises one idea that the shortages of neural network can be remedied by the mind evolutionary algorithm. use the mea, the weights of nn evolve to avert the local least value and enhance the convergence speed

    本文首先通過深入分析神經網路與思維進化演算法的思想精髓、主要演算法、特點及應用發展，提出了通過思維進化演算法來彌補神經網路的不足之處，利用思維進化演算法對神經網路的權值進行演化，以避免神經網路陷入局部最小值而且提高其收斂速度。
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