收斂反應 的英文怎麼說

中文拼音 [shōuliǎnfǎnyīng]
收斂反應 英文
convergent reaction
  • 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; ...
  • 反 : Ⅰ名詞1 （方向相背） reverse side 2 （造反） rebellion 3 （指反革命、反動派） counterrevolutionari...
  • 應 : 應動詞1 （回答） answer; respond to; echo 2 （滿足要求） comply with; grant 3 （順應; 適應） suit...
  • 收斂 : 1 （減弱或消失） weaken or disappear 2 （約束言行） restrain oneself 3 [數學] convergence; constr...
  1. The method proposed in this thesis do well in solving the problems of multi - damping - ratio - spectra simulation. it is convenient to obtain the pareto optimal solution set of the multi - object question by using implicit parallel genetic algorithms and the method can meet the practical needs for simulating ground motions coinciding with multi - damping - ratio - spectra in seismic design. the crossing rate and variance rate are important parameters of genetic algorithms which affect the rate of convergence, the adapting rate of cross and variation in this paper can auto - adapt and according to stand or fall of current sample, it assures the sample approach to the pareto optimal solution set in fast convergent speed

    較好地解決多阻尼比反應譜擬合問題；本文方法通過一次運行就能獲得一組具有集系特性的地震動，在擬合多阻尼比反應譜的人造地震波集系的模擬方面有傳統方法所不能比擬的優勢，產生的人造波或人造波集系可滿足工程抗震設計需要；在遺傳演算法中，交叉概率和變異概率是影響收斂速度的重要參數，本文採用的改進自適應交叉概率和變異概率，可以根據當前樣本的好壞程度來自動地選擇適當的交叉概率和變異概率，以保證演算法始終以較好的速度向pareto最優解集逼近。
  2. Finally, a soft sensor model of melt index in polymer reaction based on the proposed method is established, and the simulation results show that in contrast to the traditional fuzzy neural network the proposed method is not sensitive to initial parameters and possesses good convergence capability and prediction precision

    最後用該建模方法建立了聚合反應中熔融指數的軟測量模型，並與完全基於梯度下降的模糊神經網路軟測量模型進行比較。結果表明改進的模糊神經網路對初始值的選擇不敏感，並且具有很好的收斂性，同時還能達到指定的預測精度，很適合工程應用。
  3. Simple genetic algorithm gets local minimization too easily and converges slowly. to solve these problems, adaptive crossover rate that has reverse hyperbolic rel ation with the numbers of iteration is designed, and adaptive mutation rate that has reverse proportion to the distances of parents and reverse exponential relat ion to the numbers of iteration is put forward. the practical simulation results show that the adaptive ga has greater convergence speed and larger probability o f getting the best solution

    簡單遺傳演算法存在著收斂速度慢、易陷入局部極小等缺陷.針對這些缺陷，本文設計出隨相對遺傳代數呈雙曲線下降的自適應交換率，並提出與父串間的相對歐氏距離成反比、隨相對遺傳代數指數下降的自適應變異率.實例驗證表明，具有自適應交換率和變異率的遺傳演算法在收斂速度和獲得全局最優解的概率兩個方面都有很大的提高
  4. The mrafc scheme employs a reference model to provide closed - loop performance feedback for generating or modifying a fuzzy controller ' s knowledge base. the adaptive compensation term of optimal approximation error is adopted. by theoretical analysis, the closed - loop fuzzy control system is proved to be globally stable, with tracking error converging to zero

    該方案利用參考模型作為閉環系統的反饋信號來產生、調節模糊控制器的規則庫，並通過引入最優逼近誤差的自適應補償項來消除建模誤差的影響，不但能保證閉環系統穩定，而且可使跟蹤誤差收斂到零。
  5. Interval newton algorithm is used extensively in the calculation of chemical engineering such as the determination of phase stability, reactive azeotropes, robust process simulation, reliable parameter estimation, etc. all of these results show that interval newton algorithm is suitable to solve most kinds of nonlinear equation successfully

    由於區間牛頓法強壯的全局收斂性和同時求得多個解的能力使得區間牛頓法廣泛地應用在化工計算領域，如：相穩定性分析、反應共沸物的判斷及組成確定、穩態過程模擬、參數估計等等。
  6. An algorithm for detecting moving ir point target in complex background is proposed, which is based on the reverse phase feature of neighborhood ( rpfn ) of target in difference between neighbor frame images that two positions of the target in the difference image are near and the gray values of them are close to in absolute value but with inverse sign. firstly, pairs of points with rpfn are detected in the difference image between neighbor frame images, with which a virtual vector graph is made, and then the moving point target can be detected by the vectors ' sequence cumulated in vector graphs. in addition, a theorem for the convergence of detection of target contrail by this algorithm is given and proved so as to afford a solid guarantee for practical applications of the algorithm proposed in this paper. finally, some simulation results with 1000 frames from 10 typical images in complex background show that moving point targets with snr not lower than 1. 5 can be detected effectively

    基於運動點目標在鄰幀差分圖像中所具有的近鄰反相特徵，即運動點目標的兩個位置相鄰近、灰度值一正一負，提出一種在復雜背景下，基於紅外序列圖像的運動點目標檢測演算法.本演算法利用該特徵在鄰幀差分圖像中檢測反相點對，進而構造反相點對矢量圖，最後依據累積反相點對矢量圖中多矢量首位相接的連續性檢測出運動的點目標.文中給出並證明應用本演算法能以概率1檢測到運動點目標的收斂性定理.對典型復雜背景下10幅1000幀圖像的模擬結果表明，當信噪比大於或等於1 . 5時，可以有效檢測出運動點目標
  7. In the course of modeling, we present multi - step generalized gradient method and multi - stage curve fitting technique, prove convergence of multi - step generalized gradient method by using differential equation stable theory, analyze the error of multi - stage curve fitting technique by using inner space, creat knowledge base of water network system by using the maximum subordinate principle of and near - select principle of pattern recognition. at last we make the optimal running scheme of water network system based on heuristic search technique of artificial intelligence and global feedback immediate coordination method of large scale system theory

    在建立系統模型的過程中，提出了多步廣義梯度法和多層曲線擬合的建模方法，並用微分方程穩定性理論證明了多步廣度梯度法收斂性，用內積空間的有關知識對多層曲線擬合進行誤差分析;應用模糊數學中的最大隸屬度原則和模糊識別中的擇近原則和人工智慧中狀態空間表示法建立注水系統的知識庫;用人工智慧中的啟發式搜索技術和大系統理論中的具有全局反饋的直接協調法制定注水系統的優化運行方案。
  8. The system identification method is presented for backcalculating the dielectric property and thickness of pavement structures. the method of singular value decomposition is put forward to diagnose the ill - conditioned governing equation and the problem of finding solution to ill - conditioned governing equation is successfully resolved. the parameter adjustment arithmetic with high accuracy, which is based on precise theory and can be converged rapidly, is established

    提出了路面結構層介電特性及其厚度反演分析的系統識別方法，將奇異值分解技術應用於控制方程的病態診斷和求解，有效地解決了控制方程病態時的求解問題，建立了理論嚴謹、收斂快、精度高的模型參數調整演算法，並開發了路面結構層材料介電特性及其厚度反演分析軟體sidthk 。
  9. The following algorithms have been proposed and tested in the thesis : 1 frequency selective fading : combine the isomorphism between the input space and the output space and propose a new approach to blind equalization of the channel. compared with conventional methods, the new approach offers lower computational complexity, better performance, and more robust against the over - determination of the system order ; 2 time selective fading : a new approach to the equalization of time selective channel based on the zero - forced equalizer is proposed which is more simple in its structure of algorithm ; 3 time - varying channel : using the instantaneous mean value changes of the output signal to extract the information of channel variations and model it using ar model, kalman filter is then employed to track channel variations, it bears faster ability in tracking the variation of tv channels ; based on the isomorphism between the inputs and the outputs and some of the approaches using in mimo system, a new algorithm of equalization of simo time - varying channel is proposed, which also share the merits of being robust against the over - determination of the system order ; model the time - varying channel using the multi - resolution decomposition wavelets, and then a blind identification method based " on the model is proposed ; at last, a new model for equalization and identification of mimo system is proposed

    主要工作在以下幾個方面： 1 、針對頻率選擇性衰落通道：結合輸入輸出空間同構關系提出一種新的頻率選擇性通道均衡方法，與傳統方法相比，該方法計算量更小，收斂速度更快，性能更優，且對系統階次的過確定表現穩健，具有實際均衡應用價值； 2 、針對時間選擇性衰落通道：提出一種基於迫零均衡的時間選擇性通道均衡方法，演算法結構簡單； 3 、針對時變色散通道：利用瞬態均值曲線提取通道時變信息，對之ar建模，利用卡爾曼濾波器跟蹤時變通道抽頭變化，可以快速跟蹤通道變化；基於輸入輸出空間之間的同構關系以及多輸入多輸出系統的處理方法，提出了新的單輸入多輸出色散時變通道均衡與識別演算法，同樣具有對通道階次過確定保持穩健的優點；結合小波多解析度分析提出一種基於小波模型的通道盲識別演算法；研究時變的多輸入多輸出系統的盲均衡與盲反卷積問題，給出一種時變系統處理模型。
  10. Based on x - filtered lms algorithm and - filtered lms algorithm adaptive inverse control, we use a new variable step size lms algorithm. adding little computation, variable step size lms algorithm can result in fast convergence speed and low residual error simultaneously. the adaptive feedback control can counteract the beginning error of the system

    在原來的x -濾波lms演算法自適應逆控制和-濾波lms演算法自適應逆控制方法的基礎上，引入了新的變步長lms演算法，在計算量增加不多的前提下，能同時獲得較快的收斂速度和較小的穩態誤差；引入自適應的反饋補償控制克服了被控系統的直流零頻漂移，使控制系統在初開始工作階段快速收斂；還引入自適應擾動消除器，它能最大限度的消除擾動。
  11. According to the observation data of rcc dam temperature, the thermal parameters were back calculated, and the results could meet the requirements of the project

    反演結果滿足工程需要。採用帶動量因子的自適應學習率bp演算法訓練網路，收斂性好。
  12. Its unique compound formula can regulate the skin ph value, inhibit excessive sebum secretion, and decompose excessive greases through oxidizing reaction with greases on the skin surface ; the shrinking factor contained can smoothen and shrink pores inward, improve roughness arising from pore blocking, make skin look tight and fine

    其獨特的復合配方，能調節皮膚的酸堿度，抑制皮脂線分泌過多油脂，並能與皮膚表面的油脂發生氧化反應，使多餘油脂分解代謝，蘊含收斂因子更能暢通毛孔，令毛孔向內收縮，從而改善因毛孔阻塞而造成的粗糙問題，使肌膚看起來緊實細致。
  13. The simulation results indicate the capability of genetic algorithm in fast and steady learning of neural networks, guaranteeing a global convergence and overcoming some shortcomings of traditional error back propagation algorithms, meanwhile prove that this neural networks adaptive control structure is effective to many control problems and it is easy for us to programme and employ the method in the practical system

    模擬結果表明遺傳演算法能夠快速穩定地學習神經網路，保證全局收斂西安理工大學碩士學位論文並且能夠克服傳統誤差反傳演算法的一些缺點，也證明了這種神經網路自適應控制結構可以有效解決系統中存在的控制難題，同時編程容易，便於在實際系統中應用。
  14. First, based on comprehension analysis of the present study status on optimizing method to displacement back analysis in underground engineering home and abroad, intelligent optimizing method, which fits the features of underground engineering, has been developed by introducing annealing algorithm and genetic algorithm and improving them. second, according to practical features of nonlinear displacement for underground engineering, the mechanical model on back analysis to initial ground stress and mechanical parameters of surrounding rock mass in underground engineering is established, which is based on the measuring results of displacement of convergence in underground holes. while, by introducing finite element method and combining improved annealing algorithm and improved genetic - annealing algorithm, the theory and method of elastic - plastic displacement back analysis to surrounding rock in underground engineering has been founded

    首先，本文在綜合分析國內外地下工程優化位移反分析方法研究現狀的基礎上，引進模擬退火與遺傳演算法，並對其進行改進，建立了適合於地下工程問題特點的智能優化演算法;其次，根據地下工程非線性特點，基於地下工程洞周收斂位移量測結果，建立了用於地下工程初始地應力與圍巖力學參數反演分析的力學模型，並引進有限元分析手段，結合改進模擬退火演算法與改進遺傳-模擬退火演算法，分別建立了基於這兩種智能優化演算法的地下工程圍巖彈塑性位移反分析理論與方法，並開發了相應的分析計算程序，為地下工程圍巖穩定性與開挖順序優化分析奠定了基礎;然後，在上述基礎上，根據地下工程開挖施工順序優化設計的特點，建立了基於圍巖塑性區面積的地下工程開挖施工順序優化分析模型，基於改進模擬退火演算法與改進遺傳-模擬退火演算法建立了地下工程開挖施工順序優化分析方法，並開發了相應的分析計算程序;最後，將上述分析計算程序用於工程實例分析，探討了其應用方法，證明了該文研究成果的合理性和可靠性。
  15. The program fearpv is applied to 3 - d transient sealing analysis of nuclear pressure vessel during the total process, including bolt pretensioning process, heating and compression process, thermostated heating and constant pressure process, and the cooling and decompressing process. according to the analysis and computational results in this thesis, although the actual structure and work conditions of the pressure vessel in nuclear power station are much more complex than that of the pressure vessel model, the program fearpv still can get quite good convergence on the plasticity and

    由本文分析計算可知，雖然電站核壓力容器的結構及計算工況較壓力容器模擬體復雜得多，然而反應堆壓力容器瞬態密封有限元分析程序對塑性迭代和接觸迭代仍具有很好的收斂性，數值穩定性好，得到的結果具有良好的規律性，在升溫、升壓、恆溫、恆壓、降溫和降壓等過程中其規律和壓力容器模擬體基本相似。
  16. The several ones that have more lager sensitivity to embankment settlement are found out. then, aimed at the traditional three - layer bp network ' s shortages : easily getting into local minimum value and slow convergence, the modification combined momentum method with self - adaptation study velocity is made, and one improved bp network is put forward. finally, according to the results from above sensitivity analyses, the nonlinear model main parameters of each natural layer in roadbed are approximately rectified using the improved bp network technology founded on its stronger nonlinear mapping capacity and the settlement measurements

    採用非線性有限元程序，對鄧肯-張模型中8個參數與路堤沉降的關系進行了詳細分析，找到了影響沉降的主要參數；接著，針對傳統的三層bp網路具有收斂速度慢、易陷入局部極小點等不足，對其進行了修正，提出了改進的bp神經網路模型；最後，根據上述靈敏度分析結果，基於改進的bp網路模型較強的非線性映射能力和前期沉降實測資料，對路基中各天然土層的非線性模型主要參數進行了反分析修正； （ 4 ）路堤沉降計算一維法中考慮應力歷史、側向變形的研究。
  17. We focus our attention on the ilc architecture of using feedback and feedforward actions in order to improve the robustness of the ilc scheme. this dissertation aims to develop new methodologies for robust ilc design that involves a tradeoff between rapid convergence and good tracking performance. these design methods are systematic to resolve the problem of choosing the parameters in learning law and enhancing the utilitarian of ilc

    為了加強演算法的魯棒性，重點採用同時具有反饋與前饋作用的開閉環綜合迭代學習控制結構，旨在給出同時兼顧收斂性和跟蹤性能的魯棒迭代學習控制律的設計方法，避免學習律參數選擇的盲目性，拓寬迭代學習控制的應用范圍，加強迭代學習控制的實用性。
  18. 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。
  19. For the synchronous control of uncertain chaotic dynamical system, two kinds of controller were given, one was state feedback controller, and the other was sliding - mode controller, hi designing the state feedback controller, using adaptive theory, we prompted a kind of adaptive identification method of uncertain parameters and found the way to look after the stabilizing region of controlling system

    由李亞普諾夫穩定性判據，提出了一種求解系統收斂區域的方法。借鑒橫向濾波器的設計方法，提出了自適應求取控制剛度的方法，採用該方法設計狀態反饋控制器，可以避免大量煩瑣的計算，只要給定初始控制剛度，就可以實現系統的同步控制。
  20. This method can estimate convergence speed conveniently according to the reaction function of participators

    並且可以方便地通過局中人之間反應函數的性質估計收斂速度。
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