網路參數 的英文怎麼說

中文拼音 [wǎnglùshēnshǔ]
網路參數 英文
network parameter
  • 網 : Ⅰ名詞1 （捕魚捉鳥的器具） net 2 （像網的東西） thing which looks like a net 3 （像網一樣的組織或...
  • 路 : 1 （道路） road; way; path 2 （路程） journey; distance 3 （途徑; 門路） way; means 4 （條理） se...
  • 參 : 參構詞成分。
  • 數 : 數副詞（屢次） frequently; repeatedly
  • 網路 : 1. [電學] network; electric network2. （網） meshwork; system; graph （指一維復形）; mesh
  1. First in the paper network parameter is processing, learning off - line and revising accidence, then learning on - line at real control

    論文中對網路參數先進行離線學習，使得參數基本穩定下來；隨后在實際控制中採用在線學習，進行微調。
  2. In the mean time, the requirement to precise and advanced algorithm is exigent

    為此，本文利用ekf （ extendedkalmanfilter ）演算法及其改進演算法對神經網路參數進行辨識。
  3. 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。
  4. The technology, illation rule and parameter of neural network are supposed to be held in database and make a delicate database system

    知識和推理規則、神經網路參數都必須由數據庫保存，使數據庫系統實現知識數據的一體化存儲與管理。
  5. The disquisition includes choice of algorithm, accomplish of algorithm, collection of learning sample, parameter of net, shortcoming of bp algorithm, extraction and reduction form line etc. referring to shortcoming of traditional bp algorithm, a modified learning factor with adaptation is introduced. because of every different font has robust, the way based chain coded and knaggy feature is used. a bizarre sample feature database is constructed for speeding up modified bp learning and classification

    本文對人工神經網路理論進行了研究，探討了網路形式及演算法的選擇、演算法的實現、學習樣本的收集、網路參數選擇、 bp演算法缺陷、表格線提取、還原、生成及字元識別、還原生成等問題，並針對bp演算法的缺陷提出了和實現了改進型bp演算法，使網路學習效率提高，對不同人的不同字型字體有較強的魯棒性，採用了基於鏈碼特徵和凹凸分佈特徵的方法來抽取字元特徵。
  6. This paper researches and analyses the developments of web technology and magnetostrictive transducers from world wide region. the paper also analyes the characteristics curve of magnetostrictive transducers based on its equivalent circuit and researches the method how to make sure its syntony frequency and its electric simulation network parameters. at the same time, by using jsp technology, a magnetostrictive transducer electric simulation application is designed based on b / s three - tier system structure. the experiment data is fitted by curve fitting module. the equivalent input impedance of it with stimulate loop is separated based on the results of curve fitting and the syntony frequency and electric simulation network parameters of magnetostrictive transducers is determined by the input impedance. the method presented in this paper can determine the syntony frequency and electric simulation network parameters of magnetostrictive transducers with a better accuracy than the testing method of syntony & anti - synton y. further more, jsp, the advanced technology at current, has been used to realize a magnetostrictive transducer web electric simulation system. the system has good human computer interface and the function of resource sharing and information publishing. the research of this paper and its achievements have some practical merits in the researchful and applied fields of magnetostrictive transducer

    用java編程語言編寫的曲線擬合模塊，對輸入的實驗數據進行了最小二乘法的曲線擬合；根據曲線擬合結果可從帶激勵線圈的磁致伸縮換能器的輸入阻抗中分離出磁致伸縮換能器鐵芯在無激勵電流時由機械振動形成的等效輸入阻抗，並由此輸入阻抗確定磁致伸縮換能器的諧振頻率及電氣模擬網路參數。本課題提出的方法與傳統的諧振?反諧振法相比，能更準確地確定磁致伸縮換能器的諧振頻率及其電氣網路參數。同時，採用當前比較先進的web技術，實現了基於jsp的磁致伸縮換能器web電氣模擬系統，該系統具有良好的人機界面和資源共享、信息發布功能。
  7. Under windows nt and labview development environment, using the linear fit module, exponential fit module > general polynomial fit module of labview to design a method for fitting the experiment data, the results of curve fitting indicate that the purpose of general polynomial fitting is better than the rest. separating the equivalent input impedance of magnetostrictive transducers without stimulate current from input impedance of it with stimulate loop based on the results of curve fitting, and determining the syntony frequency and electric simulation network parameters of magnetostrictive transducers by this input impedance. finally, with labview network functions, realizing magnetostrictive transducer electric simulation system based on web server and discussing a scheme for this system network by datasocket. the method of this paper can more accurately determine the syntony frequency and electric simulation network parameters of magnetostrictive transducers than the testing method of syntony & anti - syntony. at the same time, discussing virtual instrument measurement system and how to realize magnetostrictive transducer electric simulation network system by labview network functions of network virtual instrument measurement development environment

    在windowsnt系統環境和labview虛擬儀器技術開發平臺下，首次利用labview中的直線擬合模塊、指數擬合模塊以及多項式擬合模塊，設計了一種對實驗所得數據進行曲線擬合的方法，對三種擬合方法進行了比較，曲線擬合結果表明，多項式擬合方法相對于其它兩種擬合方法效果更好；根據曲線擬合的結果可從帶激勵線圈的磁致伸縮換能器的輸入阻抗中分離出磁致伸縮換能器鐵芯在無激勵電流時機械振動形成的等效輸入阻抗，並由此輸入阻抗確定了磁致伸縮換能器的諧振頻率及其電氣模擬網路參數；最後通過labview提供的網路功能，實現了基於web服務器的磁致伸縮換能器電氣模擬虛擬儀器測試系統，並探討了通過datasocket技術實現該系統網路化的方案。
  8. The best approximations algorithm is just the method which can solve the mini - max solution of the least value of frequency deviation. because of the reason above, in this paper the best approximations algorithm is introduced into calculating the parameters of atcxo compensation network for the first time

    最佳一致逼近演算法正是能夠求解出使頻率偏差的絕對值最小的極小極大解的一種方法，為此將最佳一致逼近演算法首次應用於模擬溫補晶振補償網路參數的計算中。
  9. 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。
  10. 4. a formula for calculating receiving buffer length was proposed, based on the analysis and research on network parameters, such as jitter, average speed and packet loss fraction

    4 .在分析研究延時抖動、平均速率和丟包率等網路參數的基礎上，給出客戶端接收緩沖區長度估算公式。
  11. In this method, ga is used to optimize connection weights of forward - back neural network until the learning error has tended to stability, then we use sp algorithm with optimized weights to finish short - term load forecasting process

    我們用遺傳演算法來訓練網路參數，直到誤差趨於一穩定值，然後用優化的權值進行bp演算法，實現短期負荷預測，模擬實驗結果表明該方法加快網路學習速度，並能提高負荷預測精度。
  12. Our condition and estimate are formulated in terms of the network parameters, the neurons ’ activation functions and the associated equilibrium point. hence, they are easily checkable. it is believed that these results are significant and useful for the design and applications of the delayed hopfield neural networks

    這些條件和估計的公式是由網路參數、神經元激活函數以及相應的平衡點構成，所以它們很容易使用，相信這些結果對于帶時間延遲的hopfield神經網路的設計和應用具有一定的重要性和使用價值。
  13. But as a good optimization method, the researches on using tabu search as the learning algorithms for fuzzy neural networks are very few

    然而，目前使用禁忌搜索演算法作為模糊神經網路參數學習演算法的研究卻不多見。
  14. By using the measure and research of the emulating two - port network parameters of using direct - current analysis and figure value output function of sinusoidal steady state circuit in circuit emulating software pspice8. 0, the measure and research have solved the problem of the measuring purely resistive network of simple and odd one in traditional experimient, and also brought about the analysis of alternating current and direct - current for two - port network of any one complex and measure and research of y 、 n 、 z 、 t 、 h and so on parameters, and this opens up one new path for many traditional experimient of not easy to fulfil and for the complex circuit

    摘要利用電路模擬軟體pspice8 . 0中直流分析及正弦穩態電路的數值輸出功能模擬二埠網路參數的測量與研究，解決了傳統實驗中只能測量簡單、單一的純電阻網路問題，實現了對任一復雜二埠網路交、直流的分析及y 、 z 、 t 、 h等參數的測量與研究，為更多的不易完成的傳統實驗以及復雜電路的分析研究開辟了一條新路。
  15. First, method for initialization of wavelet basis in wavelet frames is proposed ; second, according to the data distribution, a modified method for rough selection of wavelet basis is given ; and the last, an adaptive projection algorithm combined with aic criterion is used to purify the wavelet basis, meanwhile finishing the parameters identification

    首先在小波框架內提出一種小波基初始化方法；然後根據樣本的分佈特點，提出一種改進的小波基粗選方法；最後將自適應投影演算法與aic準則相結合，對小波基進行精選，同時完成網路參數的辨識。
  16. When gun - powder category is different, the sample of training neural network needs change and network parameters 、 need adjustment in the training process according to the requirement of velocity. but the genetic algorithms parameter and training algorithm of neural network will keep the same

    當藥劑品種不同時，需要改變網路的訓練樣本庫對網路進行重新訓練，同時網路參數、應根據對網路收斂的速度要求在訓練過程中進行調整，而遺傳演算法的相關參數和網路的訓練演算法不變。
  17. These are employed for constructing and configuring fuzzy neural network, where the number of neurons of hidden layer of network is equated to the number of rules and the initial weights of network are configured by above factors

    首先利用粗糙集理論對樣本數據進行初步規則獲取，並計算規則的依賴度和條件覆蓋度，然後根據這些規則進行網路設計，其中，網路隱層節點的數目等於規則的數目，初始網路權重由規則的依賴度和條件覆蓋度確定，最後用遺傳演算法對模糊神經網路參數進行優化。
  18. The physical meaning of the fuzzy neural network parameters and their influence on the model performance are discussed through the research of composite liquid - solid extrusion model, and the reasonable method of evaluating the network parameters is confirmed which can quicken the training speed. some problems and the influence of the evolution operator on the optimization course are discussed, arid the reasonable range of the evolution parameter is concluded

    通過對復合材料液-固擠壓成形工藝系統建模的研究，探討了模糊神經網路參數的物理意義及其對網路學習速度的影響，確定了可加快網路學習速度的參數賦值方法；結合液-固擠壓工藝特點探討了利用遺傳演算法進行參數優化過程中一些問題的處理方法及遺傳操作運算元對優化過程的影響，確定了參數選取的合理范圍。
  19. Optimizing the algorithms of the compensation network can enhance the certified rate and the frequency stability

    優化計算補償網路參數的演算法能夠提高atcxo的產品合格率和頻率穩定度。
  20. The keys of improving the atcxo temperature frequency characteristic are appropriately choosing compensation network and optimization calculation the network parameter

    補償網路的合理選取和網路參數的優化計算是提高atcxo產品的溫度頻率特性的關鍵。
分享友人
分享到 Line

分享到臉書