早熟現象 的英文怎麼說

中文拼音 [zǎoshúxiànxiàng]
早熟現象 英文
premature convergence
  • : Ⅰ名詞1 (早晨) morning 2 (姓氏) a surname Ⅱ副詞(很久以前) long ago; as early as; for a long ...
  • : 熟形容詞1 (植物的果實完全長成) ripe 2 (加熱到可以吃的程度) cooked; done 3 (加工製造或鍛煉過...
  • : Ⅰ名詞1 (現在; 此刻) present; now; current; existing 2 (現款) cash; ready money Ⅱ副詞(臨時; ...
  • 早熟 : 1 [生理學] precocity; paedogenesis; acceleration 2 (生長期短、 成熟快) early maturing; early ri...
  • 現象 : appearance (of things); phenomenon
  1. At first, based on the simple genetic algorithm, an improved ga which adopts a combination of emigration policy and adaptive operator is presented. results of numerical optimization show that the improved ga is effective on preventing premature problem

    本文在基本遺傳演算法的基礎上首先研究了浮點編碼遺傳演算法在數值優化中的應用,通過引進「移民策略」和自適應運算元相結合的方法,改進了基本遺傳演算法在後期進化緩慢的問題,極大地減少了性收斂的
  2. To optimize the multi - phase homing trajectory, an improved adaptive genetic algorithm ( iaga ) was proposed, which could efficiently improve convergence speed and avoid the occurrence of premature

    在對分段歸航軌跡的優化中,提出了改進自適應遺傳演算法,該演算法通過增加「強化」運算元、改進對種群「」程度評價指標等,有效地提高了收斂速度、避免了「
  3. Attention : early maturity varieties, 60 days maturity, late harvesting will lead to pith hollow

    注意:京紅三號為品種,生育期一般為60 - 70天,收獲遲會出空心
  4. It belongs to early flower type, having different length and speed of development of pistil and stamen

    3月中下旬開始花芽分化,屬花類型,具雌雄蕊異長和異
  5. Simultaneously, for preventing prematurity, crossover positions in crossover operator choose according to not equal probability. when bringing into new genes, reverse bit binary strings those have the same number as the optimal individuals are supplied, which settles gene absence problem reproduction results in

    同時為了防止早熟現象,交叉運算元中的交叉位置按非等概率選取的方法進行;在納入新的基因時,加入與最優個體群等量互補的二進制碼串,解決了復制操作導致基因缺失的問題。
  6. According to the shortage of ga converging to a local optimal solution because of reducing the diversity of individuals, the theory of biological immune system is cited, the immune operators including calculation the densities of antibodies, activating or suppressing antibodies and making the memory cell are designed, and effectively combined with ga operators

    同時,針對遺傳演算法在收斂計算後期,由於種群趨向單一化,出早熟現象而陷入局部最優解的缺點,借鑒生物原理的免疫系統,設計出抗體濃度計算、抗體的抑制/促進、構造記憶單元等多個免疫運算元,並與遺傳運算元進行有效結合。
  7. This article used natural number encode, and did feasibility analysis. in connection with premature in genetic algorithm, this article adopted self - adapting adjustment crossover and mutation probability methods, and did simulation

    本文採用自然數編碼的方式,並分析了可行性;針對演算法優化中出的「,提出了採用自適應交叉、變異概率法,並進行了模擬。
  8. A modified genetic algorithm is proposed. in the dissertation a different fitness function is constructed and similarity is introduced, which can increase variety of population md avoid prematurity

    這樣可以增加群體多樣性,在一定程度上避免早熟現象發生;然後利用改進遺傳演算法對圖像進行了分割計算,將目標與背景分割開來。
  9. In order to enhance the applying efficiency of cl, the cause of premature convergence in binary - coded genetic algorithms ( gas ) is analyzed in this dissertation. the drawback of conventional mutation operator in preventing premature convergence is subsequently pointed out. whereafter, a genetic algorithm, which can be implemented via general logic gate circuit, is proposed

    為了提高計算智能的應用效率,本文分析了二進制遺傳演算法中收斂的成因,指出了傳統的變異運算元在防止收斂方面的不足,提出了一種能有效預防早熟現象的二元變異運算元,並在此基礎上提出了一種便於用常規邏輯門電路實的遺傳演算法。
  10. Results of numerical tests show that the algorithm can avoid precocious phenomena to a certain extent and it has higher rate of convergence

    數值試驗結果表明,該方法能在一定程度上克服早熟現象,且收斂速度較快。
  11. Simulations prove, it saliently solves the " prematurity " problem and therefoe has better ability of global searching with the property of stabilization, agility and operating simply

    模擬表明,該演算法有效的克服了早熟現象,而且演算法穩定、靈活,操作簡單。
  12. 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
  13. An emigration operator is designed to preserve the diversity and to smooth the pareto front. the approaches such as the fitness sharing, the clustering method, and the elitism strategy are also improved and extended in this paper

    通過兩個典型算例的驗證,可以看出,本方法很好地防止了早熟現象,得到了均勻、平滑的pareto曲線,可以實際運用於復雜的電磁裝置優化設計中。
  14. Recently the study on biology shows that the immune action can prevent the premature and raise the optimizing speed effectively - thus the immune principle can give important edification on how to enhance the performance of ga ' s

    近年來在生物學領域的研究發免疫行為能夠很好地防止早熟現象,有效地提高尋優速度? ?因而免疫原理對改進和提高遺傳演算法的性能具有重要的啟迪作用。
  15. Through chaos optimization method embedded into the genetic algorithm. the algorithm with the combination the advantages of the genetic algorithm and chaos optimization method which need not the optimal problem function ' s differential and promote the ability of the genetic algorithm ' s locally meticulous search can be obtained with the faster convergence and the greater probability for the global solution. a chaotic sequence is inserted into the search procedure of genetic algorithm, which can overcome premature of the search by genetic algorithm and the speed of convergence is faster than standard genetic algorithm

    對遺傳演算法進行了理論分析,並且研究了遺傳演算法的設計與實;利用混沌優化方法不依賴于梯度信息的性質,將其與遺傳演算法相結合,提出了一種求解連續不可微函數優化問題的混合遺傳演算法;基於對于符號動力系統的研究,利用混沌序列的遍歷性,將混沌序列引入遺傳演算法中,提出一種嵌入哈爾濱工程大學博土學位論文一混飩序列的遺傳演算法,該演算法有效地克服了標準遺傳演算法中的早熟現象,並且具有更快的收斂速度。 」
  16. In order to avoid the “ premature ” phenomena of genetic algorithm, this paper makes some improvements on self - adaptive tactic in the self - adaptive genetic algorithm put forward by m. srinivas

    同時為更好的避免遺傳演算法的「,本文對m . srinivas提出的自適應遺傳演算法中自適應策略作了一點改進。
  17. After briefly introduce the basic genetic algorithm ( ga ) theory, aimming at the " prematurity " of basic genetic algorithm, we put forward a new improved genetic algorithm, the basic genetic algorithm combine simulate anneal ing ( gasa ), to meliorate the local search ability of basic genetic algorithm. because many design problems, such as the preliminary fuzzy rule and input and output membership fuction are hard to gain and the learni ng process of fuzzy neural network ( fnn ) is slow and local optimization, we design the fuzzy neural network excitation controllers of turbine generators with genetic algorithm combine simulate anneal ing ( gasa )

    本文首先介紹了水輪發電機勵磁控制方式和軟計算理論的發展,然後介紹了遺傳演算法的基本理論,針對基本遺傳演算法存在的「,介紹了一種遺傳演算法結合模擬退火的改進型遺傳演算法,改善了基本遺傳演算法的局部搜索能力。鑒于常規模糊神經神經網路勵磁控制器設計方法中存在著初始模糊規則和輸入輸出隸屬度函數難以確定以及模糊神經網路訓練緩慢和難以達到全局最優等問題,利用遺傳演算法結合模擬退火的改進型遺傳演算法來設計模糊神經網路勵磁控制器。
  18. But in engineering practice, premature convergence often happens, and sometimes the speed of convergence is very slow, which greatly restrict the application of genetic algorithm

    但是在實際工程應用中經常發生收斂,且有時收斂速度非常慢,這在很大程度上限制了遺傳演算法的進一步普及應用。
  19. This paper firstly overviews the traditional pso algorithm, and introduces the stretching technique to avoid " premature " in pso and to improve the algorithm ' s ablity to search for a global optimum. the stretching technique is applied to the optimization process in mud. by viewing the objective function of mud as the algorithm ’ s fitness function, the multi - uesr detector based on the stretching pso ( spso ) is proposed

    本文首先在傳統粒子群優化演算法基礎上,為避免基本粒子群優化演算法「,提高演算法全局尋優能力,引入了拉伸技術,並把其應用到多用戶檢測尋優過程中,將演算法適應值設為最佳多用戶檢測目標函數,提出了基於拉伸技術粒子群優化演算法的多用戶檢測器。
  20. Although this phenomenon and assertion are well known, yet wire - frame as a graphics medium is still applied in some industry design and manufacture areas nowadays. it is because of that drawing a wire - frame is cheaper and easier rather than drawing a 3d object by solid modeling

    雖然這一已為人們所知,但由於線框模型形繪制比三維實體繪制快速、經濟,因此線框模型仍作為圖形表述的主要方法被廣泛用於工業設計與製造領域。
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