收斂行為 的英文怎麼說

中文拼音 [shōuliǎnhángwéi]
收斂行為 英文
convergence behavior
  • 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; ...
  • 行 : 行Ⅰ名詞1 （行列） line; row 2 （排行） seniority among brothers and sisters:你行幾? 我行三。where...
  • 收斂 : 1 （減弱或消失） weaken or disappear 2 （約束言行） restrain oneself 3 [數學] convergence; constr...
  • 行為 : action; behaviour; conduct; deed
  1. The two - dimensional henon chaotic nonlinear map is effectively controlled by the proposed approach. secondly, because of the distinguished advantages, such as rapid convergency and strong approachability, the rbf networks is trained as chaotic controller by ogy scheme, then successful of controlling the henon chaotic map

    其次，利用一種學習過程收斂速度快、擬合能力強的rbf神經網路，以ogy法為依據，訓練網路成為混沌控制器，仍以henon映射作為混沌控制對象，對其混沌行為實施了成功控制。
  2. The cause is that depending strength of government only to hit lawless proprietor and safeguard consumer ' s leigitimate rights and interests is limited, because the proprietor can constringe the action of self due to the government strike it strongly in the short - term, but government can not be persisted over a long period of time because of the restriction of resources such as funds etc. in another aspect, if encouraging consumer to safeguard the leigitimate rights and interests of self, the probability that proprietor ' s tort occurs could reduce generally, moreover it is lasting

    本文首先從靜態的角度來分析消費者權益受到損害的原因。通過分析發現，單純地依靠政府的力量來打擊不法經營者、維護消費者合法權益的作用是有限的，短期中經營者會因為政府加大打擊力度而收斂自己的行為，但政府由於受經費等資源的限制，不可能長期堅持下去。從另一個角度，如果鼓勵消費者維護自身的合法權益，則經營者侵權行為發生的概率會降低，而且具有持久性。
  3. 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。
  4. 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。
  5. Disigning coolant channel on the firebox of liquid rocket engine to loxodrome ( equal - angle helix ) groove can improve firebox coolant capability greatly. because the width dimension of loxodrome groove is narrow and the depth is deep, some machining methods are incapable, such as end - milling or electrochemistry. according to the peculiarities, a cnc disk - cutter - milling method which is composed of five motion axes with four simultaneously interpolated ones is researched. because most firebox generatrix is composed of complex curves, it is very difficult to get cnc cutting program with manual means. in order to deal with the problem, the loxodrome mathematics model is studied, and an auto - programming software system is developed. the software system can generate cnc cutting program of loxodrome on many kinds of turned surface. the constriction - distension segment of firebox is the most representative workpiece. the sharp changing of its generatrix slope makes loxodrome milling difficult. with the theory analyzing and practice cutting experiment, some applied techniques, which include milling mode and direction, choosing cutter diameter and cutting start point setting, are developed. adopting the technology above, tens regular workpiece have been manufacturing. the two - year manufacture practice has confirmed the validity and feasibility of developed loxodrome coolant channel milling method. the developed technology is also worth to be referenced to other similar workpiece

    將液體火箭發動機燃燒室的冷卻通道設計為斜航線（等傾角螺旋線）槽形，可以大幅度改善燃燒室的冷卻性能.斜航線冷卻槽的槽寬尺寸較小而槽深尺寸較大，所以無法使用棒銑刀銑削、電化學等加工方式.針對這些特點，提出了五軸控制、四軸聯動的數控片銑刀銑削加工方法.由於燃燒室外表面的母線輪廓復雜，手工編制數控加工程序難度大.為了解決數控加工程序的編制問題，研究了斜航線的數學模型，開發了自動編程軟體系統.使用該系統，可以生成多種母線輪廓回轉體外表面上的斜航線數控加工程序.燃燒室收斂-擴張段的母線斜率變化大，加工難度大，是斜航線冷卻通道加工的最典型工件.經過理論分析和實際切削實驗，研究了針對該類型工件的片銑刀直徑選擇、銑削方式和方向、刀具調整和起刀點的設置等多項實際的加工方案.採用上述的一系列技術，已經成功地加工了數十個合格工件.經過兩年多的實際生產過程應用，驗證了所開發的斜航線冷卻通道加工方法的正確性和可行性.這些加工技術的研製成功，對其他相似類型零件的加工亦具有參考意義
  6. 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。
  7. This article puts forward a solution named divide - assemble by deducing the size of bp neural network to overcome entering the local best point, the dividing process is that a big bp neural network is divided into several small bp neural networks, every small bp neural network can study alone, after all small bp neural networks finish their study, we can assemble all these small bp neural networks into the quondam big bp neural networks ; on the basis of divide - assemble solution, this article discusses the preprocessing of input species and how to deduce the size of bp neural network further to make it easy to overcome entering the local best point ; for the study of every small bp neural network, this article adopts a solution named gdr - ga algorithm, which includes two algorithms. gdr ? a algorithm makes the merits of the two algorithms makeup each other to increase searching speed. finally, this article discusses the processing of atm band - width distribution dynamically

    本文從bp網的結構出發，以減小bp神經網路的規模為手段來克服陷入局部極小點，提出了bp神經網路的拆分組裝方法，即將一個大的bp網有機地拆分為幾個小的子bp網，每個子網的權值單獨訓練，訓練好以後，再將每個子網的單元和權值有機地組裝成原先的bp網，從理論和實驗上證明了該方法在解決局部極小值這一問題時是有效的；在拆分組裝方法基礎上，本文詳細闡述了輸入樣本的預處理過程，更進一步地減小了bp網路的規模，使子網的學習更加容易了；對于子網的學習，本文採用了最速梯度? ?遺傳混合演算法（即gdr ? ? ga演算法） ，使gdr演算法和ga演算法的優點互為補充，提高了收斂速度；最後本文闡述了用以上方法進行atm帶寬動態分配的過程。
  8. The paper applyed principle analysis and numerical computation to compare the scheme of particle injection syphon and convergence - turn tube. the last method was adopted to conduct research because it could produce high concentrated particles stream and operated conveniently. 2

    本文應用原理分析、數值計算等手段，對粒子加入、彎管和收斂?折管方案進行了比較，認為收斂?折管方案可以產生發動機在飛行過載中的凝相粒子聚集效應，且燒蝕參數控制方便。
  9. Instruction detection technology is core in instruction detection system, it include abnormity instruction and abused instruction detection, on the basis of traditional network security model, ppdr model, instruction detection principle and instruction technology analysis, the author has brought forward instruction detection method based genetic neural networks, adopted genetic algometry and bp neural networks union method, and applied in instruction detection system, solve traditional bp algometry lie in absence about constringency rate slowly and immersion minim value

    入侵檢測分析技術是入侵檢測系統的核心，主要分為異常入侵檢測和誤用入侵檢測。作者在對傳統網路安全模型、 ppdr模型、入侵檢測原理以及常用入侵檢測技術進行比較分析的基礎上，提出了一個基於遺傳神經網路的入侵檢測方法，採用遺傳演算法和bp神經網路相結合的方法?遺傳神經網路應用於入侵檢測系統中，解決了傳統的bp演算法的收斂速度慢、易陷入局部最小點的問題。
  10. Particle swarm optimization ( pso ) algorithm is a computation intelligence technique, inspired by social behavior of birds flocking. pso algorithm possesses the advantages of simplified, rather quick convergence speed, global optimization performance, and less controlling parameters, et al

    粒子群演算法是一種源於鳥群捕食行為的計算智能技術，具有演算法簡單、收斂速度較快、全局優化能力較強、控制參數較少等優點。
  11. Further econometric analysis based on the neo - classical convergence framework on inter - provincial economic growth during the transitional period leads to the conclusion of conditional convergence

    本文以新古典收斂模型為框架，對轉型時期各省區的經濟發展進行計量分析，得出了條件收斂的結論。
  12. 1, q 3, and at last prove the exisitence of ( q, m + n, n, m ) resilient functions when n > q ? 1. intelligentized ids methods, which can make the system more adaptability and self - studying, are important research directions of ids so far. in order to make the ids systems have better identifying ability and efficiency against new intrusions, we propose the intrusion feature extra - ction algorithm based on ikpca by studying the different kinds of intrusion detection feature extraction algorithm based on unsupervised learning, and then theoretically analysis the conver - gence of the algorithm. in addition, we validate the validity of the algorithm by means of experim - ents ; at the same time, through studying ica and neural networks, we propose fastica - nn ids, and then test the kddcup99 10 % date set to make comparison of kpca 、 ikpca and fastica algorithms in intrusion detection advantages and disadvantages

    為了使入侵檢測系統對新的入侵行為有更好的識別能力和識別效率，本文在研究了各種基於無監督學習的入侵檢測特徵提取方法的基礎上，提出了基於增量核主成份分析（ ikpca ）的入侵檢測特徵提取方法，並對該方法進行了收斂性分析，同時結合模擬試驗對其正確性進行了驗證;另外，本文通過研究獨立成份分析和神經網路，提出了基於快速獨立成份分析和神經網路的入侵檢測方法（ fastica - nnids ） ，並通過對kddcup99的10 %數據集的檢測比較了核主成份分析（ kpca ） 、增量核主成份分析（ ikpca ）和快速獨立成份分析（ fastica ）在入侵檢測特徵提取方面的優缺點。
  13. Considering of the differences of task scheduling between a grid and a distributed system, this dissertation designs a real number encoded mode that mapping every task to a random resource directly by improving the encoding mode of the traditional genetic algorithm, and gives a particular design to the encoding and decoding mode. at last, this algorithm is simulated in the grid simulator. the experiment results show that the reformative genetic algorithm not only has a holistic searching ability, but also makes a fast convergent speed, which provides a preferable performance

    本文根據網格計算任務調度的特點，提出了基於改進的遺傳演算法的網格任務調度，通過對傳統遺傳演算法的編碼方式進行改進，針對網格任務調度與一般分散式系統任務調度的不同之處，設計了資源?任務的一一對應的實數編碼方法，詳細設計了其編碼及解碼方式，最後在網格模擬器中進行了模擬，實驗數據證明了改進后的遺傳演算法即具有全局搜索能力，又具有較快的收斂速度，具有較好的性能，該實驗達到了本文以實現任務調度的最優跨度為目標的實驗目的。
  14. It has been improved, and specially proposed : firstly, we has increased run speed and ensure the diversity of population is with constructing non - dominated set by throwing off the dominated solutions, expressing the interior relation of individuals each other by the crowding distance, and constructing new population. secondly, we have further improved its convergence performance by clustering in precondition of ensuring a better distribution of individuals

    該文以nsga -為基準，對演算法進行了改進，具體提出了：用排除法構造非支配集、用聚集距離刻畫個體間的內部關系以及構造新群體，來提高運行速度和保持群體的多樣性；用聚類演算法在保持原有特性的前提下，進一步改善收斂性能等。
  15. Compared with the classical bp algorithm, robust adaptive bp algorithm possesses some advantages as following : ( 1 ) increasing the accuracy of the network training by means of using both the relative and absolute residual to adjust the weight values ; ( 2 ) improve the robustness and the network convergence rate through combining with the robust statistic technique by way of judging the values of the samples " relative residual to establish the energy function so that can suppress the effect on network training because of the samples with high noise disturbances ; ( 3 ) prevent entrapping into the local minima area and obtain the global optimal result owing to setting the learning rate to be the function of the errors and the error gradients when network is trained. the learning rate of the weights update change with the error values of the network adaptively so that can easily get rid of the disadvantage of the classical bp algorithm that is liable to entrap into the local minima areas

    與基本bp演算法相比，本文提出的魯棒自適應bp演算法具有以下優點： （ 1 ）與魯棒統計技術相結合，通過訓練樣本相對偏差的大小，確定不同訓練樣本對能量函數的貢獻，來抑制含高噪聲干擾樣本對網路訓練的不良影響，從而增強訓練的魯棒性，提高網路訓練的收斂速度； （ 2 ）採用相對偏差和絕對偏差兩種偏差形式對權值進行調整，提高了網路的訓練精度； （ 3 ）在採用梯度下降演算法對權值進行調整的基礎上，通過將學習速率設為訓練誤差及誤差梯度的特殊函數，使學習速率依賴于網路訓練時誤差瞬時的變化而自適應的改變，從而可以克服基本bp演算法容易陷入局部極小區域的弊端，使訓練過程能夠很快的「跳出」局部極小區域而達到全局最優。
  16. The application of sa and heuristic algorithm in packing problem is studied deeply. an improved sa, which utilizes heuristic approach in search tragedy and movement tragedy, is introduced and manifested to enhance the rate of convergence with an extent of exact solution

    對sa演算法和啟發式演算法在布局問題中的應用進行了研究，為提高收斂速度同時保證一定精確度，對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，縮小布局狀態空間的搜索。
  17. Abstract : in this paper a new identification model constructed by neural networks with modified inputs and stable filters is presented for continuous time nonlinear systems in order to reduce the inherent network approximation errors. an adaptive law with projection algorithm is employed to adjust the parameters of networks. under certain conditions, convergence of the identification error is proved

    文摘:在用神經網路進行系統建模時，建模誤差的存在是難免的.為了減小這種誤差，本文對連續時間非線性系統提出了一種新的神經網路辨識模型，它是由帶有輸入修正的神經網路和穩定濾波器組合而成.文中給出了權值的學習演算法，即權值是根據辨識誤差的投影演算法來改變，證明了在一定條件下辨識誤差的收斂性
  18. The implementation of such a system is extremely complicated due to three factors : the impulse response of a lrm system have a duration of several hundred milliseconds, the system has to be adaptive, and the adaptation has to be performed with a speech input the traditional adaptive algorithms such as lms and nlms can not obtain the satisfied result in the real - time acoustic echo cancellation processing

    但由於聲回授通道的特殊性和復雜性，普通的自適應演算法無法滿足要求，必須採用一些十分復雜的演算法，這樣一來，實時性的問題變得十分突出。快速lms newton演算法的提出，給自適應聲回波對消問題的解決開辟了新的途徑。該演算法集lms演算法的簡單易行性和newton演算法的快收斂性為一體，是一種非常有應用前景的自適應演算法。
  19. Next, the wireless datalink status information sense scheme design is implemented and the strongpoint and weak point of it was surveyed in order to find out its applicability. finally, i summarize briefly the whole paper and put forward next work needed to do. this paper provides wireless datalink support and meritorious consultation for design of dynamic routing module of wmsn

    相鄰wr鏈路感知模塊的功能是感知網路拓撲的動態變化，及時通知動態路由模塊進行及時的動態路由更新與收斂，作為常規hello報文發現相鄰wr的補充，提高動態路由模塊對拓撲動態變化的響應速度。
  20. 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。
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