權值 的英文怎麼說

中文拼音 [quánzhí]
權值 英文
right entitlement weight toose be jafambi
  • 權 : Ⅰ名詞1 [書面語] （秤錘） counterpoise; weight （of a steelyard）2 （權力） power; authority 3 （...
  1. 13 callan j p, connell m e, du a. automatic discovery of language models for text databases

    改進tfw - idfw權值計算方法，並採用簡單的平均函數持續改進候選網路語言模型。
  2. The theory overall illuminates how the investment company proceeds the stock choice and turns the stock choice into the concrete number by turning six factors given weights that affect the result of the stock choice into the probability of the stock choice by the quantitative method. the important points lie in : 1 considering the external environment, the growth nature, the venture and the corporate v alue ; 2 overcoming the non - comparability of the financial ratios between the corporations of different lines

    此理論從公司的外部環境和公司的內部因素全面地闡述了投資公司如何進行股票選擇，以及通過對成長性、公司所處的風險、宏觀及行業、公司的價值和處于不同行業的企業間財務比率進行量化處理，將影響股票選擇的六大因素賦以權值后轉化成股票選擇的可能程度值，從而將股票選擇用具體的數值來表示。
  3. Firstly, second harmonic component ratio and dead angles of two phase inrush ' s dispersion in three - phase transformes are acted as input variable. secondly, the method applies improved algorithm based on the original algorithm of multi - layer forward back propagation network, that is to say, adding last variational effect of weight value and bias value to this time and making use of variable learning rate. at the same time, this method also adopts dynamic form in the number of hidden floor node

    首先，文中將三相變壓器兩相涌流差流的二次諧波含量比和間斷角作為網路的輸入變量；其次，利用對原有bp網路訓練演算法基礎上的改進型演算法（即在計算本次權值和閾值的變化時增加上一次權值和閾值變化的影響以及採用變學習率，與此同時隱含層神經元個數採用動態形式） ，通過樣本訓練使網路結構模型達到最優。
  4. During the calibration, a regress - analyse method is used to get the weight of the different channel based on equational coefficient, the weight represents the sensitivity of each channel

    為了提高測量的可靠性和精確性，對9通道數據同時採集，在測試標定時採用回歸分析方法，根據靈敏度得到不同通道的權值。
  5. We deduce frondose algorithm of three layers bp neural networks which is used in common, and discuss several important issues in designing neural networks which is used to forecast, for example, number of hidden layer, nerve cell number of hidden layer, epoch of learning, embryonic power value, decision of node number about input and outputo at the same time, this dissertation sums up things that conventional bp algorithm is improved on considering disadvantages of it

    3推導了常用的三層bp神經網路具體演算法，討論了實際預測應用中神經網路設計方面的幾個重要問題，如隱層數、隱層神經元數、訓練次數、初始權值、輸入節點數以及輸出節點數的確定。同時，針對傳統bp演算法存在的各種各樣的缺點，文中綜述了對其改進的情況。
  6. 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。
  7. A experienced equation which is summarized by many experiments is used to determine the number of mesosphere nerve cell and a sort of new square - sum function of errors is adopted. its characteristic is that weight errors of possible exceptional point is less. accordingly, the effect of errors of possible exceptional point is reduced, which make actual function relation simulation easier

    本系統針對bp演算法的局限性，給出了一種優化的bp演算法，採用經過大量實驗總結出的經驗公式來確定隱層神經元的個數，並選取了一種新的誤差平方和函數，該函數的特點是對一些可能的異常點的誤差權值設計的較小，從而降低了異常值誤差帶來的影響，便於模擬出真實的函數關系。
  8. The ptv of test matrix is different for each other, but has same weight value. and the weight value can be appointed by fault diagnosis system designer

    在其生成的測試矩陣中各ptv互不相同，但都具有相同的權值，而權值可以由故障診斷系統的設計者予以指定。
  9. 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。
  10. Analyze and compare pid and vague, single neuron etc. control strategy, and combine with single neuron self adaptive gain, self adaptive right value and preventive integral saturation etc. control strategy. have improved single neuron control algorithm, may restrain efficiently to disturb, reduce broken arc and short circuit etc. phenomenon, make systematic control effect and robustness get to strengthen, also have certain application reference value for the design of the dc arc furnace

    通過對pid 、模糊、單神經元等控制策略的分析比較，將單神經元增益與權值的自適應調節、抗積分飽和等控制策略相結合，改進了單神經元控制器演算法，可以有效抑制擾動，減少斷弧、短路等現象的發生，使系統的控制效果和魯棒性都得到增強，對電弧爐控制系統的設計也具有一定的應用參考價值。
  11. The theoretical model calculation shows that, under the condition without any priori information, the energy weight value resolved from the continuation field or the maximum characteristic value of the matrix related to the continuation field can be used to judge the position of the potential field source, thus determining the burial depth of the geological body

    理論模型計算表明：在沒有任何先驗信息的條件下，可以用延拓場分解的能量權值異常或延拓場相關矩陣的最大特徵值，判斷位場場源所在位置，從而能確定地質體的埋深。
  12. The innovations of this thesis can be summarized into three points. firstly, the average relative velocity is introducd into a novel adptive weighted clustering algorithm as one important parameter of weight, then it increases the stability and self - adaptability of cluster head. secondly, a new approach to calculating weight is suggested by integrating subjective and objective factors. it is verified by comparison with other approaches to selecting weight. thus the velocity of weight responding to the changes of network topology is increased. finally, using a som neural network to create a classifying model enables every node to learn to identify by itself the role in manet

    本文的創新點有三個:首先本文在wca和aow分簇演算法的基礎上，引入了平均相對移動速度作為權值重要的參數，提出了一種新的基於權值的自適應分簇演算法，提高了簇頭在移動中的穩定性和自適應性;其次，提出了利用主客觀綜合賦權法確定權重的權值計算方法，通過與其他權重選擇方法比較，網路結構變化的權值響應速度得到了改進;最後，論文利用自組織特徵映射神經網路建立分類模型，使得網路中的節點可以自學習地確定簇中角色。
  13. In contrast, a discriminatively trained model would know that the words tend to occur together and thus would assign lower, more reasonable, weights to them

    相對之下，區別式模型就知道這些文字經常結伴出現，所以會賦予它們較低、較合理的權值。
  14. The double talk detector computes a squared norm of the filter weight vector and detects an increase of the squared norm in order to detect double - talk status

    其中一雙方交談偵測裝置會計算濾波器權值向量所對應的方均值差量，並利用於偵測一雙方交談狀態。
  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. Chapter 2 focuses on weight learning and structure learning of multi - layer feed - forward neural networks

    主要研究前向神經網路的權值學習和結構學習方法。
  17. The echo canceller includes an adaptive finite impulse response filter that generates an adaptive filter weight vector

    此?音消除系統由一適應性有限脈沖響應濾波器所組成，它能產生一組適應性濾波器權值向量。
  18. Crossover is implemented using arithmetic crossover operator. then unsymmetrical mutation is conducted using the new mutation operator which can expand the scope of chromosome gene value, at the same time, the chromosome with the highest fitness values are retained for each iteration. a lot of experiments are implemented to obtain the optimized initial weighs and bias

    生成了三維矩陣表示的染色體，進行了聯賽選擇，利用算術交叉運算元進行了交叉運算，利用構造的新的變異運算元，進行了非均勻變異，同時保留了每次進化運算后最優的適應值，通過大量實驗，實現了遺傳演算法優化bp網路的初始權值和閾值的目的。
  19. Adding momentum item while correcting weight and limiting range of input value reduce error and improve diagnosis correctness greatly. while normalizing the input value, a new way is put forward that normalization is performed item by item according to its sort. in this way error training can avoid going into the flat field that is caused by existing of 0 or 1 of the input value

    本文首先分析了故障診斷和神經網路的基本理論，並在此基礎上提出了神經網路對于變壓器故障診斷系統的適用性；文中將bp神經網路演算法用計算機實現；並針對其本身存在的一些缺點提出了一系列改進措施，通過在修正權值的時候增加動量項，並且限制輸入值范圍來減小誤差、提高系統的診斷正確率；在對輸入數據進行歸一化處理的時候，採取按類逐項歸一化的方法，避免了輸入數據出現0或者1而使訓練進入平坦區。
  20. On the basis of analyzing the several traditional algorithms, the efficient design method, the self - initiated weighted least squares ( swls ) combined with adaptive simulated annealing ( asa ), are proposed explicitly for the design of pif. this chebyshev criterion based optimal approximation method has not only very fast computing speed but also high accuracy and good controllability

    在對這些演算法特性分析比較的基礎上，系統完整地提出適用於lcos投影分合色偏振干涉濾光片設計的最高效方法? ?自啟動權值最小二乘演算法（ swls ）結合自適應模擬退火演算法（ asa ） 。
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