algorithm convergence 中文意思是什麼

algorithm convergence 解釋
演算法收斂性
  • algorithm : n. 【數學】演算法;規則系統;演段。
  • 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. Genetic annealing algorithm and its convergence analysis

    遺傳退火演算法及收斂性分析
  2. It is proven that these modified dual algorithms still have the same convergence results as those of the conceptional dual algorithms in chapter 2 and chapter 3. secondly, a dual algorithm is constructed for general constrained nonlinear programming problems and the local convergence theorem is established accordingly. the condition number of modified lagrange function ' s hessian is estimated, which also depends on the penalty parameter

    證明這些修正的對偶演算法仍具有同前兩章的概念性對偶演算法相同的收斂性結果,我們還進一步構造了一般約束非線性規劃問題的對偶演算法,建立了相應的局部收斂理論,最後估計了修正lagrange函數的hesse陣的條件數,它同樣依賴于罰參數。
  3. People put forward radial basis function networks considering the conventional bp algorithm problems of slow convergence speed and easily getting into local dinky value

    對于傳統bp演算法存在的收斂速度慢和易陷入局部極小值問題,人們提出了徑向基函數網路。
  4. The inversion results of synthetic magnetotelluric sounding data are ideal, which indicates that the algorithm possesses advantages of expediting convergence, avoiding earliness and improving precision, and can be used in mt data analysis

    對各種類型的大地電磁測深理論曲線進行計算,結果表明:採用實數編碼混合遺傳演算法進行反演具有收斂速度快、解的精度高和避免出現早熟等優點,可用於大地電磁資料解釋。
  5. In this paper we improved the traditional sa algorithm, and the heuristic algorithm is applied to the search and move schedule. the neighborhood is changed from the fixable to the alterable, the operation of moving and rotating is alternate, and the precision of the solution is then guaranteed as well as its convergence speed

    本文對傳統的sa演算法進行了改進,在演算法的搜索策略和變動策略中應用了啟發式方法,由定鄰域搜索變為變鄰域搜索,平移和旋轉變動交替進行,既保證了解的精度又提高了其收斂速度,取得了良好的布局效果。
  6. Gathering fuzzy technique and model - identifying technique to processing research, fuzzy model - identifying technique, a intersecting science, has been come out, which has become hoto in this thesis, based on deeply researching the fuzzy unit - identifying and complete analysis on data of measuring well of the chandqing wushenqi district, the method of constructing self - adapting multi - dimension non - liner subjection degree function has been created without precedento based on the extraction of routine measuring well character parameters, and for adopting self - adapting method to carry through character compression, the model has been improved the performance and enhanced the convergence speed and sorted precision of the algorithm o the relation of measuring well information and the oiliness & gassiness of sandstones is fuzzy ? in the thesis, the law of max subjection degree has been studied and improved, and proved preferable effect in the practical application

    論文在提取一些常規測井特徵參數的基礎上,採用自適應方法對各變量多項式進行優選,減少了特徵參數間的相關性,突出了類別間的差異性,從而優化了模式的質量,提高了分類的精度。測井信息和砂體的儲集性之間的關系是帶有模糊性的,論文對模糊「最大隸屬原則」進行了研究和改進,並在實際應用中取得了較好的效果。論文成功研製了「自適應」的演算法和軟體? ?即通過對正確回判率的比較,然後對參數進行調節的辦法,可將模式「訓練」到最佳狀態。
  7. Studies on correct convergence of the em algorithm for gaussian mixtures

    演算法正確收斂性的探討
  8. The dynamic glycolysis chaotic oscillation process is identified using vbl network, which shows that this algorithm has better convergence property than other algorithms

    對糖酵解混沌振蕩過程進行動態辨識建模,結果表明本演算法具有較好的辨識效果和收斂性。
  9. A new learning algorithm of the continue wavelet networks parameters is proposed, that is, hybrid parameters learning algorithm. the parameters of wavelet networks are divided into two parts, and different methods are used to training them. compare to the traditional parameters learning method, the new method proposed in this paper has the advantages of rapid convergence speed and high approximation capability

    提出了連續小波網路的混和參數訓練方法,將小波網路參數分為小波系數和網路權值兩部分,對這兩部分參數分別採用不同的方法進行訓練,這一新的訓練方法相對于傳統的小波網路參數訓練方法來說具有收斂速度快,逼近精度高等優點。
  10. The hybrid algorithm raises the convergence rate of the conjugate gradient method and solves the problem for which the convergence rate of the steepest descent method get slower when the isopleth of goal function is oblong

    這種混合優化演算法結合了共扼梯度法和最速下降法產生搜索方向,既提高了共扼梯度演算法的收斂速度,又解決了目標函數的等值線是扁長橢球時,最速下降法下降緩慢的問題,具有收斂速度快、收斂范圍大、適應面廣等特點。
  11. Immune clone strategy is introduced into c - means algorithm, which can effectively tackle those problems of nonstability, slow convergence and nonideal clustering that exist in ids with the traditional c - means. the experimental results reveal that the system can detect variety of unknown abnormal intrusions, and demonstrate that our combined clustering algorithm has good performance

    實驗結果證明該上述兩種演算法有效地克服了傳統c -均值聚類演算法在解決入侵檢測問題中的穩定性差、收斂性不好和聚類效果不理想等問題,並能在一定程度上檢測到未知的異常入侵行為。
  12. The improved algorithm is combined with normalized least - mean - square ( nlms ) alg orithm. computer simulations are presented detailedly to show the algorithm exhibits excellent convergence, tracking capability, as well as lower ber

    改進演算法結合了歸一化最小均方( nlms )演算法,模擬結果表明改進演算法具有良好的收斂性、跟蹤性能及較低的誤碼率。
  13. An improved pso ( particle swarm optimization ) algorithm is presented which well addresses slow convergence speed and low calculation precision in the basic pso algorithm

    摘要提出了一種改進的粒子群演算法,很好地解決了基本粒子群演算法中易陷入局部最優的缺點。
  14. The problem is then fed to a nonlinear programming routine to solve for all parameters. the flight dynamics model with yawing motion of uh - 60a is given, scale factors of state variables and control variables are applied based on the consideration of algorithm convergence. then, the optimization of trajectories is expressed as optimal control problem with a performance index constrained by helicopter performance limits, faa regulation and so on

    首先,建立帶偏航運動的直升機點質量模型,然後對狀態變量和控制變量進行無量綱處理,因為狀態變量和控制變量量值相差較大,這使得優化演算法收斂效果變差,所以需要選擇適當的縮放因子,最後把直升機單臺發動機停車后的飛行軌跡表示成一個最優控制問題,即在考慮直升機性能限制和far規范后,指定一個優化性能指標,選擇合適的路徑約束,然後再解最優控制問題。
  15. The research analyzed the main reasons for the premature, stagnation and slow constringency of standard ant algorithm, and proposed an improved version of the ant algorithm grounded on the original algorithm, which could effectively improve the rate of the algorithm convergence, and its application in tsp has achieved very good result

    摘要分析了標準蟻群演算法易於出現早熟、停滯和演算法收斂速度慢的主要原因,在原有演算法基礎上提出了一種改進型的蟻群演算法,該演算法可以有效的提高收斂速度,並把該演算法應用到tsp問題中,取得了很好的效果。
  16. Based on studying simulated annealing algorithm and powell algorithm, in allusion to simulated annealing algorithm convergence slow, the two fast simulated annealing combination optimization algorithm are offered. one is optimal reservation simulated annealing and powell combination algorithm ( f - psa ). the other one is optimal reservation simulated annealing and genetic algorithm optimal combination algorithm ( f - gsa ). and these two optimal combination algorithm are combined with bp neural network to predict oil reservoir parameters

    在深入研究模擬退火演算法、 powell演算法的理論基礎上,針對模擬退火演算法收斂速度慢問題,提出了兩種快速模擬退火組合優化演算法,即最佳保留模擬退火與powell有機結合的fpsa和最佳保留模擬退火與遺傳演算法有機結合的f
  17. New way to get vaccine that retaining better antibodies " characteristic information makes algorithm convergence in the whole process rapidly

    通過採用對保優抗體中特徵信息的提取這種新方法得到疫苗,使構造出的演算法具有快速全局收斂的良好性能。
  18. The theoretical analysis and test result show that the proper preprocessing an appropriate preprocessing of the optimization mathematical model can simplify the optimal design process, accelerate the algorithm convergence speed, and at the same time, improve the best solution quality

    理論分析和測試數據表明:對優化數學模型採用適當的預處理,簡化了優化設計過程,加速了演算法的收斂速度,同時提高了最優解的質量。
  19. Wavelet packet transform based adaptive multiuser detection algorithm converges faster than wavelet transform based adaptive multiuser detection algorithm. they also have the better performance. simulation results also reveal that the algorithm convergence relates to wavelet base and decomposition

    基於小波變換的自適應多用戶檢測演算法( wt - mud )和傳統的lms自適應多用戶檢測演算法相比, wt - mud演算法收斂速度加快;基於小波包變換的自適應
  20. In this article, a comparison between basic genetic algorithms and optimal elitist model niche genetic algorithms is made and it illustrates that the optimization has greatly optimized the previous sectional solutions and has speeded up the algorithm convergence and the rate of convergence

    摘要探討了基於穩態復制策略的二進制小生境遺傳演算法,並把其應用於復雜函數優化問題中,通過與基於最優保存策略的基本遺傳演算法進行比較,說明改進演算法可以極大克服遺傳演算法未成熟收斂問題以及極易陷入局部解問題,提高了演算法收斂性能和收斂速度。
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