收斂有效性 的英文怎麼說

中文拼音 [shōuliǎnyǒuxiàoxìng]
收斂有效性 英文
convergent validity
  • 收 : Ⅰ動詞1 （把攤開的或分散的事物聚集、合攏） put away; take in 2 （收取） collect 3 （收割） harvest...
  • 斂 : Ⅰ動詞1 （收起; 收住） hold back; keep back 2 （約束） restrain 3 （收集; 徵收） gather; collect; ...
  • 有 : 有副詞[書面語] （表示整數之外再加零數）: 30 有 5 thirty-five; 10 有 5年 fifteen years
  • 效 : Ⅰ名詞（效果; 功用） effect; efficiency; result Ⅱ動詞1 （仿效） imitate; follow the example of 2 ...
  • 性 : Ⅰ名詞1 （性格） nature; character; disposition 2 （性能; 性質） property; quality 3 （性別） sex ...
  • 收斂 : 1 （減弱或消失） weaken or disappear 2 （約束言行） restrain oneself 3 [數學] convergence; constr...
  • 有效性 : availability; effectiveness; validity; significance有效性檢查 validity check
  • 有效 : effective; valid; efficacious
  1. Furthermore, we made a great deal of numerical experiments and the numerical results suggest that the new 9 parameters triangular element is more effective than robust element, and the new 12 parameters rectangular element is more effective than the 12 parameters one in [ 5 ], acm, and the non - complete biquadratic rectangular element

    0 ）的收斂性，並進行了大量數值實驗，結果表明：新的9參三角形元比robust非協調元，新的12參矩形元已有的12參矩形元， acm元，不完全雙二次矩形元數值效果都要好
  2. The numerical simulations demonstrate the convergency within a wide region of this method to out - perform the conventional regularization gauss - newton method

    通過與傳統的正則化高斯牛頓法相比較，顯示了小波多尺度法是一個大范圍收斂、能夠有效節省計算量的方法，數值模擬的結果也表明了方法的有效性。
  3. The freezed euphorbia thymifolia has qualities of endurability and softness. it has beautifying effects and are suitable to grow in humid and nutritious environments. it symbolized female glow and strength

    古有雲：千根草纖弱卻有耐性，適合濕潤及滋潤之環境，有收斂美容之效用，冰結千根草之氣質出眾，纖弱有耐力，象徵女性光輝，柔以刻剛。
  4. 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。
  5. Abstract : the design problem of reduced - order state observer for a class of multi - input multi - output ( mimo ) nonlinear time - varying systems is studied in this paper. a new design method of nonlinear reduced - order state observer is proposed, and the exponential convergence is proved for the proposed state observer. the observer has the characteristics of that the speed of convergence is adjustable. finally, an example is given to show that this approach is effective

    文摘:研究一類多輸入多輸出（ mimo ）非線性時變系統的降維狀態觀測器設計問題.提出一種非線性降維狀態觀測器設計方案，並從理論上證明了狀態觀測誤差的指數收斂性.其中設計的降維狀態觀測器具有收斂速度可調的特性.最後給出了數值算例，模擬結果表明了本文方法的有效性
  6. Finally, take example for a non - linear function, method mentioned in this paper is used to design wavelet neural network to approximate this function. the computer simulations confirm the method that is brought out in this paper is useful, and prove that wavelet neural network has not only fast convergence and better precision of approximation, but also good capability of forecasting and escaping error

    最後，對於一個實際的非線性函數，用本文介紹的方法來設計小波神經網路來逼近函數，模擬結果表明該方法的有效性，並且表明小波神經網路在函數逼近上，網路的收斂速度快，逼近精度高的特點，並且網路具有很好的泛化能力和容錯性。
  7. To make further study on the optimization capability of iga and other correlative capabilities mathematically, stochastic theory is used to analyze iga. as a result, the global convergence of iga and other correlative characteristics are got. meanwhile, the convergent effect and the mechanism on prevention from premature of iga is studied so that the effectiveness and the superiority of the algorithm proposed in the dissertation are proved theoretically

    為了從數學角度更加深入地分析iga的優化能力及相關性能，利用隨機過程理論對iga進行分析，並證明了iga的全局收斂性及其他相關性質，還對iga的收斂效果以及對早熟的防治機理進行了研究，從而在理論上證明了本文演算法的有效性和優越性。
  8. Finally, the paper clarified the concept of hard ecotourists, frequent ecotourists and experienced ecotourists ever used in others s research

    分類結果經預測有效性內容有效性理論有效性和收斂有效性檢驗，效果較好。
  9. In this dissertation, the numerical computation for the acoustic radiation problem ( arp ) is studied deeply and systematically in the theory, method and the application technique, based on analyzing the situation of the home and abroad on the numerical computation for the acoustic radiation problem. the calculation formulas of the boundary element method ( bem ) for the exterior acoustic radiation problem in the full - space and half - space are deduced, based on the wave propagation theorem ; the arising of the non - unique solutions, which is associated with the application of the boundary integral equation ( bie ) in acoustic radiation problem, is analyzed and proofed ; the improved combined helmholtz integral equation formulation ( ichief ) is presented to overcome the non - uniqueness problem more effectively and reliably ; the determination of the singular integral coefficients on various occasions is analyzed ; the properties and treatments of the singular integrals with different orders axe studied ; the computation program of the cubic spline ichief is developed and its ability to overcome the non - uniqueness problem and feasibility to discrete the surface coarsely with the sufficient calculation precision are examined through examples

    第二章在聲波動理論基礎上，詳細地推導出對應于無限域和半無限域的外部振動聲輻射問題的邊界積分方程計算公式；根據fredholm積分理論，對利用邊界積分方程計算振動聲輻射問題過程中解的非唯一性的產生進行了分析和證明；改進了chief法以提高其克服解的非唯一性的有效性和可靠性；對不同條件下奇性系數的計算、強奇性積分的收斂性及其在變量替換時與普通積分的差異性、不同階奇性積分的計算、數值求積分等進行了研究；開發了三次樣條改進chief法計算軟體，並通過算例考核了該方法在特徵波數處克服解的非唯一性的有效性和在保證計算精度的前提下實現剖分粗化以提高計算效率的可行性。
  10. Their learning and training rules have been analyzed profoundly and their abilities to approximate arbitrary nonlinear function have been testified and compared by the simulation. a new rbf neural network has been presented which uses a raised - cosine function as activation transfer function. it provides a wider generalization in comparison with gaussian rbf neural networks by simulation as well as strong approximation ability, fast convergence, a rule to select the parameters of the networks

    本文詳細研究了兩種典型的前向神經網路（ bp網路和rbf網路）的學習和訓練演算法，提出了一種新穎的基於緊支集餘弦函數的徑向基神經網路，其克服了常用的高斯型rbf神經網路雖具有緊支集但各基函數非正交的不足，其收斂速度快、網路參數選取有理論依據且相比于高斯型rbf神經網路具有更強的泛化能力，模擬驗證了其有效性。
  11. This genetic algorithm possessed efficiency and convergence pass through ackley experiment function

    通過了ackley實驗函數，證明了本文編制的遺傳演算法的有效性和收斂性。
  12. The software in which the neural network is realized is designed in the paper, and with two - link planar manipulator, the feasible and effective of using ga to learn the weights of nn is studied, simulations show that the proposed method improves considerably the inverse kinematic solutions for robot manipulator and guarantees a rapid global convergence

    本文對用軟體實現該神經網路進行了程序設計，並用兩桿平面機械手對應用遺傳演算法學習神經網路的權系數的可行性和有效性進行了模擬研究，模擬結果表明，該方法可極大地提高機械手逆運動學解的精度，確保快速達到全局收斂。
  13. Finally, genetic optimization research is summarized on several typical production scheduling problems. after expounding the general idea of genetic algorithm, the comparative advantages in contrast to the traditional algorithm, the basic characteristics of genetic algorithm and its theoretical base, the paper puts emphasis on the efficiency of genetic algorithm in the scheduling of flow shop, and puts forward an improving genetic algorithm : the ordinal genetic algorithm based on the heuristic rules. the new algorithm introduces into the initial group the solution of heuristic algorithm, and in the group structure adopts a strategy of first ordering according to the priority of the adaptive solution, and then defining a new way of choosing probability by segments, which provides more hybridizing opportunity for optimized individuals, and designs variation - control rule to prevent single population and partial optimal solution

    在論述了遺傳演算法的思想、與傳統搜索演算法的比較優勢、遺傳演算法的基本特徵和遺傳演算法的理論基礎（包括模式定理、隱含并行性、基因塊假設、欺騙問題和收斂性定理）后，重點探討了遺傳演算法在flowshop調度問題中的潛力和有效性；結合啟發式規則，提出了一個改進的遺傳演算法?基於啟發式規則的有序遺傳演算法，新演算法在初始種群中引入了啟發式演算法的解，在種群結構上採用了先按適應值優劣排序再分段確定選擇概率的新策略，使優質個體有更多的雜交機會，在變異中設計了變異控制規則，以防種群單一化，而陷入局部優化解。
  14. This method can guarantee the solution matrix of sylvester equation to be inverse and the sum of the input gain norm and the observer gain norm is the minimum. for the linear systems with unknown parameters, we identify the parameters using hopfield network, then design the observers using the identified parameters, the exponential convergence of adaptive observer is also proved. for the linear time - varying systems, a new network to solve the time - varying sylvester equation is proposed, we analysis it ' s convergence and robustness, then, deign the linear time - varying observer using this network model, and we discuss the convergence of the observer and ruboustness to unknown match parameters

    同時保證了sylvester方程的解矩陣的可逆性和觀測器的增益矩陣與輸入矩陣范數的和最小；在設計線性時不變自適應觀測器時，首先利用系統的輸入、輸出數據設計一個hopfield網路參數估計器，進一步設計狀態觀測器，證明了參數估計器和狀態觀測器的指數收斂性；為了仍然從神經優化計算的角度設計線性時變系統的狀態觀測器，最後介紹了一種求解時變sylvester矩陣方程的神經網路模型，分析了它的收斂性和魯棒性，然後利用該網路設計時變狀態觀測器，進一步討論該觀測器的在系統存在未建模不確定和外部噪聲時的魯棒性；最後給出了一種基於分離性原理和hopfield網路觀測器的狀態反饋閉環系統的結構，分析了該閉環系統的特點；對于每一種設計方法都給出了相應的數值模擬例子來進一步表明所提方法的可行性和有效性。
  15. In this paper, an improved genetic algorithm ( ga ) was applied to the design of high performance e - plane waveguide filters at the first time. for dealing with the shortcoming of ga as low efficiency in local optimum searching, the idea based on parallel genetic algorithm ( pga ) known as separate local optimization was presented. by separating the whole population into sub - populations, and adding a new operator known as crossover between two sub - population, the new method can provide as 2 3 times quickly as traditional ga. all numerical examinations illustrated the high convergence speed and good global searching of the new algorithm, and proved the validity of it

    由於遺傳演算法表現出良好的全局搜索性能，因此本文將其應用於高性能e面波導濾波器的設計中.針對傳統遺傳演算法所存在的局部搜索能力差的缺點，本文在并行遺傳演算法的基礎上，通過將原有群體劃分為多個子群體，利用多個子群進行局部極值點的搜索，並利用群間遷徙，使改進后的演算法收斂速度平均提高了2 3倍.數值實驗表明演算法具有較快的收斂速度和較好的全局搜索性能，證明了演算法的有效性
  16. The algorithm based on discrete walsh conversion is researched, and the validity of algorithm is proved. the elaborate algorithm of feedback pnn is presented. the simulation experience proved availability of the model on accelerating convergence

    研究了前饋過程神經網路基於離散沃爾什變換的學習演算法，證明了演算法的有效性；給出了反饋型過程神經元網路詳細的演算法推導過程，模擬實驗證明了網路加入反饋后對加速收斂的有效性。
  17. The relation of fft size and the length of reverberation in bss implementation in frequency domain and its influence on the performance of separation are investigated. 2. a new fixed - point ica algorithm is introduced into bss for audio mixtures, and an algorithm of bss based on fir matrix algebra with block implementation is given

    本文嘗試將一種新的定點ica演算法用於分離多通道混合語音信號，給出了一種基於fir矩陣代數技術的時頻域的新演算法，實驗證明了演算法的有效性和較快的收斂速度。
  18. Second, for vector sequence coming from the steep - descent method, we use extrapolation method for the sequence and get some applied algorithms. we also give theoretical proofs for this algorithms. many numerical experiments tell us that the new algorithms sometimes can save 80 % computation

    其次，對求解非線性優化問題的最簡潔的最速下降方法產生的迭代序列，運用向量序列加速收斂手段進行了討論，導出了一些實用的加速演算法，並從理論上證明快速演算法的有效性，眾多數值試驗進一步表明：加速收斂的方法相比較加速前幾乎都能夠節約80以上的計算量。
  19. Many experiments are implemented, the results of which demonstrate the algorithm ’ s efficiency and stability. it overcomes disadvantages of the bp neural network which has slow convergence rate and is prone to fall into local extremum

    模擬和實驗結果充分表明了該演算法的有效性和穩定性，克服了bp神經網路收斂速度慢和易陷入局部極小的問題，為混沌時間序列預測運用開辟了新的應用領域。
  20. Simulation shows that ukf algorithm can estimate missile trajectory with satisfying precision and convergence speed, the method ’ s availability and feasibility for missile estimation is validated

    模擬結果表明ukf濾波能夠得到較為滿意的估計精度和收斂速度，驗證了該方法的有效性和對彈道估計問題的可行性。
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