模憶法的 的英文怎麼說

中文拼音 [móyìfǎde]
模憶法的 英文
mim-mem
  • 模 : 模名詞1. （模子） mould; pattern; matrix 2. （姓氏） a surname
  • 憶 : 動詞（回想; 記得） recall; recollect
  • 法 : Ⅰ名詞1 （由國家制定或認可的行為規則的總稱） law 2 （方法; 方式） way; method; mode; means 3 （標...
  • 的 : 4次方是 The fourth power of 2 is direction
  1. As for the representation of the individuated pattern - base, we introduces a new classification representation method based on multi - users and multi - topics, so as to make each profile only denote one user ' s one topic. this method makes it possible to express explicitly the user ' s interest. as for the creation of the individuated pattern - base, we adopt the hopfield neural network model, which has the function of ample association and remembrance and may be used to associate with the user ' s interest to create the initial individuated pattern - base

    對于個性化模式庫的表示，本文給出了一種多用戶多主題的分類表示方式，使得每個profile文件只表達一個用戶的一個主題，可以更清晰的表達用戶的興趣；對于個性化模式庫的建立，本文採用了機器學習中的hopfield神經網路模型， hopfield網路具有豐富的聯想記憶功能，可以用來對用戶興趣進行聯想，建立用戶的初始個性化模式庫；對于個性化模式庫的維護，採用了基於用戶反饋的學習方法。
  2. 2. the paper studies calendar effects of the sample, such as periodicity and long memory 。 so we use the flexible fourier form regression proves and filters the periodic components 。 and use ghp method to estimate the fractional integration d

    用對數周期圖法（ gph ）檢驗和估計序列長記憶行為。最後對去周期的收益序列建立了garch和egarch模型，較理想的擬合了價格的波動。
  3. By making use of simulated annealing algorithm with memory, and determining a set of effective cooling schedule, the thesis solves this complex and special knapsack problem successfully

    本文應用帶記憶功能的模擬退火演算法，結合理論分析和經驗法則，通過大量試驗確定了一組有效的冷卻進度表參數，成功地解決了這個復雜而特殊的背包問題。
  4. A novel dynamic evolutionary clustering algorithm ( deca ) is proposed in this paper to overcome the shortcomings of fuzzy modeling method based on general clustering algorithms that fuzzy rule number should be determined beforehand. deca searches for the optimal cluster number by using the improved genetic techniques to optimize string lengths of chromosomes ; at the same time, the convergence of clustering center parameters is expedited with the help of fuzzy c - means ( fcm ) algorithm. moreover, by introducing memory function and vaccine inoculation mechanism of immune system, at the same time, deca can converge to the optimal solution rapidly and stably. the proper fuzzy rule number and exact premise parameters are obtained simultaneously when using this efficient deca to identify fuzzy models. the effectiveness of the proposed fuzzy modeling method based on deca is demonstrated by simulation examples, and the accurate non - linear fuzzy models can be obtained when the method is applied to the thermal processes

    針對模糊聚類演算法不適應復雜環境的問題，提出了一種新的動態進化聚類演算法，克服了傳統模糊聚類建模演算法須事先確定規則數的缺陷.通過改進的遺傳策略來優化染色體長度，實現對聚類個數進行全局尋優;利用fcm演算法加快聚類中心參數的收斂;並引入免疫系統的記憶功能和疫苗接種機理，使演算法能快速穩定地收斂到最優解.利用這種高效的動態聚類演算法辨識模糊模型，可同時得到合適的模糊規則數和準確的前提參數，將其應用於控制過程可獲得高精度的非線性模糊模型
  5. There are many decoding schemes for convolutional code, such as sequence decoding algorithm, fano algorithm, viterbi algorithm. but in fact, what ' s used widely is viterbi decoding algorithm. the viterbi decoding algorithm, proposed in 1967 by viterbi, is a decoding process for convolutional codes in memory - less channel, which takes full advantage of convolutional codes. since viterbi algorithm is proposed, it has obtained rapid development whether in theoretics or in practice and been applied to all kinds of data transmission systems, especially to digital wireless communications and deep space communications

    卷積碼的譯碼演算法方案有很多，如序列譯碼演算法、 fano演算法、 viterbi演算法，但是真正大規模應用的還是viterbi演算法。 viterbi譯碼演算法是1967年viterbi提出的，它是一種對無記憶通道卷積碼進行譯碼的演算法。它充分發揮了卷積碼的特點，因而自viterbi演算法提出以來，無論在理論上還是在實踐上都得到了極其迅速的發展，並廣泛的應用於各種數據傳輸系統，特別是無線通信和衛星通信系統中。
  6. 2 rayleigy and weibull distribution ground clutter for airborne phased array radar ( apar ) general pulse signal was simulate with method of zero memory nonlinear transform

    二、利用零記憶非線性變換法實現機載相控陣雷達常規脈沖情況下的瑞利分佈、韋伯爾分佈的地面雜波模擬。
  7. The fourth chapter " reseach on fractai structure of stock price " anaiyzed the fractai structure of stock price, deduced the investment function, caiculated the hurst exponent, 3 correlation dimension, and max lyaponov exponent, analyzed the self - similarity, long range dependence, circulation period of stock price and sensitivity of stock price to the initial value, suggested took the exponent characterize fractal instead of variance as instrument to measure risk

    第四章分析並檢驗了股票市場的分形混沌特徵，推導了投資函數，計算了表徵股票市場分形特徵的hurst指數，關聯維和最大lyapunov指數，分析了股票價格的自相似性、長期記憶和循環周期，分析了股票價格的波動對初始條件的敏感性，提出中國股票市場具有混沌分形的特性，用傳統的方差法度量股票風險是無效的，必須使用混沌分析能夠理論來刻畫股票收益的風險，建立收益模型。
  8. This subject is a national fund project in science : an attribute theory and method for thinking construction and memory style ( 60075016 ), and a branch fund project in development of education, science and technology of shanghai ( 01g04 ) : intelligence modeling. it is also another one of shanghai zhenhua limited liability corporation : status detection and security estimation for derrick

    本課題是國家自然科學基金項目：思維建構與記憶模式的屬性論方法（ 60075016 ）和上海市高教科技發展基金項目：思維建構與智能模擬的屬性論方法（ 01g04 ）的子課題，同時也是上海振華有限公司的項目：橋吊狀態監測與安全評估系統。
  9. " in our separate interviews with the three witnesses, we found that their recollection of people and events tallied strongly with only minor variances, tony lui noted. " even the appearances of the bribe - takers, their nicknames, the police units they worked for, staff identity numbers and the amount of bribe money they received were consistent. this affirmed that many officers from the police and other agencies had close associations with key members of the drug ring

    呂樹桐稱：我們分別接見三名證人，發覺他們說出的情況，除了少部分記憶較為模糊而有些兒差異外，差不多可以說有九成是互相吻合的就連收賄人的相貌特徵渾號所屬部隊編號甚至收取的銀碼亦相同由此證明販毒集團的主要成員與許多執法人員過從甚密經常見面。
  10. The recursive algorithms of restricted, increased, decreased mode are deduced without the calculation of the inversion

    分別導出了rkrls和rsvm演算法在限定、增長和縮減記憶模式下的遞推公式，均無需進行求逆計算。
  11. Data collected from mengda power plant have been used to train the model. unlike normal direct - method / indirect - method of heat balance, this model computes the boiler efficiency and main parameters needed for control in the boiler ' s operation efficiently by taking the advantage of neural network ' s inherited powerful co - relating ability, memorizing ability and the ability of mapping with nonlinear variables

    此模型不同於傳統的鍋爐效率計算方法（正平衡或反平衡方法） ，而是通過人工神經網路本身具有的強大的聯想功能和記憶功能以及對于非線性變量的映射能力，來計算鍋爐效率和鍋爐運行中需要調節的一些主要參數。
  12. Then, a practical approach of software quality evaluation based on this model is given out which uses the network method of nerve and combines the associative memory model with the expert judge and fuzzy appraisal according to the gradient theory. and a program of this approach is compiled using c #. net

    然後，根據梯度理論，應用神經網路方法將聯想記憶模型與專家評判、模糊評價相結合，給出一個基於此模型的軟體質量評價的實用方法，並用c # . net對此評價方法編程實現，最後通過實例來說明此方法。
  13. Based on the clonal selection theory and immune memory mechanism in the natural immune system, a novel artificial immune system algorithm, clonal strategy algorithm based on the immune memory csaim is proposed in this paper. the algorithm realizes the evolution of antibody population and the evolution of memory unit at the same time, and by using clonal selection operator, the global optimal computation can be combined with the local searching

    人工免疫系統ais是一新的模擬自然免疫系統的計算智能方法，它受生物免疫機制的啟發，通過學習外界物質的自然防禦機理，提供噪聲忍耐自組織自學習記憶等進化學習機制，結合了分類器神經網路和機器推理等的特點，因此具有提供解決問題新穎方法的潛力。
  14. The grey self - memory model for annual runoff was established on grey system and self - memory theory

    摘要將灰色系統建模方法和自記憶建模結合起來，提出了年徑流預測的灰色自記憶模型。
  15. In this dissertation, we improve on am models closely following the two cores of the am research, learning algorithm and network architecture

    本文緊緊圍繞am研究的兩個核心學習演算法與體系結構對聯想記憶模型展開改進研究。
  16. The characteristics of quantum computing and the mechanism of immune evolution are analyzed and discussed. inspired by the mechanism in which immune cell can gradually accomplish affinity maturation during the self - evolution process, a immune evolutionary algorithm based on quantum computing ( mqea ) is proposed. the algorithm can find out optimal solution by the mechanism in which antibody can be clone selected, memory cells can be produced, similar antibodies can be suppressed and immune cell can be expressed as quantum bit ( q - bit ). it not only can maintain quite nicely the population diversity than the classical evolutionary algorithm, but also can help to accelerate the convergence speed and converge to the global optimal solution rapidly. the convergence of the mqea is proved and its superiority is shown by some simulation experiments in this paper

    分析和探討了量子計算的特點及免疫進化機制，並結合免疫系統的動力學模型和免疫細胞在自我進化中的親和度成熟機理，提出了一種基於量子計算的免疫進化演算法.該演算法使用量子比特表達染色體，通過免疫克隆、記憶細胞產生和抗體相似性抑制等進化機制可最終找出最優解，它比傳統的量子進化演算法具有更好的種群多樣性、更快的收斂速度和全局尋優能力.在此不僅從理論上證明了該演算法的收斂，而且通過模擬實驗表明了該演算法的優越性
  17. Abstract : the characteristics of quantum computing and the mechanism of immune evolution are analyzed and discussed. inspired by the mechanism in which immune cell can gradually accomplish affinity maturation during the self - evolution process, a immune evolutionary algorithm based on quantum computing ( mqea ) is proposed. the algorithm can find out optimal solution by the mechanism in which antibody can be clone selected, memory cells can be produced, similar antibodies can be suppressed and immune cell can be expressed as quantum bit ( q - bit ). it not only can maintain quite nicely the population diversity than the classical evolutionary algorithm, but also can help to accelerate the convergence speed and converge to the global optimal solution rapidly. the convergence of the mqea is proved and its superiority is shown by some simulation experiments in this paper

    文摘:分析和探討了量子計算的特點及免疫進化機制，並結合免疫系統的動力學模型和免疫細胞在自我進化中的親和度成熟機理，提出了一種基於量子計算的免疫進化演算法.該演算法使用量子比特表達染色體，通過免疫克隆、記憶細胞產生和抗體相似性抑制等進化機制可最終找出最優解，它比傳統的量子進化演算法具有更好的種群多樣性、更快的收斂速度和全局尋優能力.在此不僅從理論上證明了該演算法的收斂，而且通過模擬實驗表明了該演算法的優越性
  18. Combined with the data - selected schemes proposed, the computational complexity of this method can be lowered. the performance of the presented rls method is analyzed by simulations, and it is shown that this method is interesting for application. 4 time - selective channel signal model based on multipath - doppler diversity representation is given in multi - path fast fading channel, and rls space - time receiver algorithm based on time - varied constraint condition is presented and the computational complexity of this method is analyzed

    4 、針對多徑快衰落通道下的ds - cdma系統，給出了基於多徑-多譜勒觀點描述的1百安電弓卜科東兔j憶學協士學位論文時間選擇性通道的信號模型，提出了基於變約束條件下的遞歸最小二乘空時接收機演算法並分析演算法的運算量，最後通過模擬分析了所提出的方法的性能。
  19. Based on the established three - dimensional physical model, simplified terms, specified material parameters in thermal and physical properties, boundary conditions, and the calculation method of heat convection of cooling water, the numerical simulation and analysis on steady - state temperature field for continuous unidirectional solidification of niti shape memory alloy wire billets were proceeded under the condition of different combined parameters using ansys finite - element software

    在建立三維物理模型以及確定材料熱物性參數、邊界條件與冷卻水對流換熱系數計算方法的基礎上，採用ansys有限元軟體對不同參數組合條件下鎳鈦形狀記憶合金線坯連續定向凝固的穩態溫度場進行了數值模擬。
  20. Nn, one of soft measurement modeling tools having the association & recollection self - learning better fault tolerance prompt response simulation of the high nonlinear system, has its advantage in modeling the nonlinear and time - varying flux of sluice gate. this thesis focuses on the soft measurement modeling based on nn, which solves the problem quite good

    神經網路方法是一種效果較好的軟測量建模方法，具有聯想記憶，自學習，高度容錯，快速處理，能逼近高度復雜的非線性系統的特點，適用於非線性、時變的涵閘水力流量過程建模。
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