樣本網路 的英文怎麼說

中文拼音 [yàngběnwǎnglù]
樣本網路 英文
network of samples
  • 樣 : Ⅰ名詞1. （形狀） appearance; shape 2. （樣品） sample; model; pattern Ⅱ量詞（表示事物的種類） kind; type
  • 本 : i 名詞1 （草木的莖或根）stem or root of plants 2 （事物的根源）foundation; origin; basis 3 （本錢...
  • 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...
  • 樣本 : sample book; specimen; advanced copy; sample; muster; scantling; instance; statistics
  • 網路 : 1. [電學] network; electric network2. （網） meshwork; system; graph （指一維復形）; mesh
  1. ( 2 ) bayesian network methods can avoid subjective prejudice brought by apriority information, sightless search when we lack sample information, and the infection of interferential factors

    （ 2 ） bayesian網路中的理論方法既可避免只使用先驗信息可能帶來的主觀偏見，和缺乏樣本信息時的大量盲目搜索，也可避免只使用后驗信息帶來的干擾因素的影響。
  2. Thirdly, resorting to cooperation - competition model of biomathematics, this thesis proposes a new co - evolution model. simulation results are shown to verify its effect and practicabilitv. last, standard methods for optimizing neural netvvorks are easily trapped into local optimization, and unable to adjust the structure of neural networks, thus their application is limited to certain extent

    本文主要驗證和設計適應性操作運算元和小生境方法保持群體多樣性的能力，實驗表明兩種方法都能較好地達到目的；利用生物合作競爭模型設計協同演化來動態地改變群體規模，實驗表明該模型是有效的；人工神經網路是得到越來越廣泛應用的學習系統，但是由於學習演算法存在一定的缺陷，如易於陷入局部極值，難以調整網路的結構等，使神經網路的應用受到一定的限制。
  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. Online news photograph editorship is in large the same as newspaper photograph editorship

    網路新聞圖片編輯和報紙圖片編輯基本一樣。
  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. Taking into account of magnetic hysteresis of mr dampers, revised bingham model for mr dampers is proposed in this dissertation

    通過該模型得到樣本數據，建立了能夠模擬mr阻尼器逆向工作特性的逆模式神經網路模型。
  7. Under such a major premise, the present paper puts forward, according to some interrelated language teaching theory, the conformity of multimedia and network technology to college foreign language teaching

    基於這樣的大前提，本文以相關的語言教學理論為基礎，著重論述了多媒體網路技術與英語教學的整合。
  8. This paper addresses how to introduce the corba techologies into the tmn, meanwhile, it also addresses the possible applicatioin of corba in tmn. finally, this paper also introduces the detail design of how to apply a corba middleware tao into alcatel ' s forth generatioin project, using corba as the network management interface between the qaf and nef, the functions in tmn. this paper especially pays attention to the detail design of the netowrk management ' s softweare framework, managed object class and notifciation management, try to find a more elegant design pattern in network management development

    隨著電信網路技術的不斷發展，各種新業務的日新月異，傳統的基於osi協議棧的電信管理網tmn在開放性，分散式，互操作性和實現的復雜程度上都日漸不能滿足需求，為了解決這樣的問題，國際電信聯盟itu - t將corba技術引入電信管理網中，本文就如何在tmn電信管理網中引入corba技術，引入后的實際設計問題，以及corba技術在tmn中可能的應用做了一定程度的探討，並結合alcatel4g網管子項目介紹了如何將基於corba的中間件tao ，應用在網元層網管系統中，作為q介面適配層qaf和網元功能層nef的標準管理介面。
  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. This paper starts the research of the liquid floated pendulous accelerometer testing system according to the engineering. at first, this paper gives the brief introduction of the history and present status of accelerometer and its testing technology, the working principium and math model of the liquid floated pendu - lous accelerometer, and then, decides the binary width pulse force retrim loop as the design proposal of testing system, researches the transfer function of every part in the system emphasizly, analyses the stability of the whole accelerometer testing system from the angle of control theoretics by the open loop transfer function of system, and designed the correcting net, analyses the basal problems such as resolution, sampling restraint, precision and so on, designs the hardware testing circuits such as preamplification, band - pass filter, alternating amplifier, phase sensitive demodulatorn, pulse - width modulation, frequency scale circuit, moment current generator. finally, using the graphics program language labv - iew which is designed for testing field especially by ni accomplishes the solfware design of testing system, realized the testing functions

    首先對加速度計及其測試技術的發展歷史和現狀，液浮擺式加速度計的工作原理和數學模型等作了簡要的介紹，然後確定了以二元調寬脈沖再平衡測試迴路為設計方案，並從控制理論的角度進行了分析，著重研究了系統中各部分的傳遞函數，利用系統開環傳遞函數分析了系統的穩定性，同時設計了系統的校正網路;分析了二元調寬脈沖再平衡測試迴路的解析度、采樣約束以及測試精度等基本問題，並按照系統分析的結果設計了包括前置放大、帶通濾波、交流放大、相敏解調、脈寬調制、頻標電路以及力矩電流發生器等測試系統各部分硬體電路，驗證了電路的正確性，最後按照測試系統的要求，採用了美國ni公司專為測試領域所開發的虛擬儀器工具? ? labview作為測試軟體開發工具，利用該圖形化編程語言完成了測試系統軟體部分的設計，實現了測試功能。
  11. The detailed works are as follows : the finding patterns problems in the time - series data sequence are described, and a new trend logic expression method is introduced, and its algorithm and experiment result of algorithm are given ; time - scries data are disposed, and using the arctg. slope of line as the sample of pattern recognition, so ignoring the aberrance of pattern in the classified. in addition, a new time - series pattern finding algorithm based on higher - order neural network is put forward

    同時給出了本文的具體的工作，主要是：對在時序數據序列中發現模式問題進行了描述，並介紹了一種新的趨勢邏輯表示方法，給出了其演算法及演算法的實驗結果；對時序數據進行處理，提出了利用線段的斜率反正切值作為模式識別的樣本，從而在分類時忽略模式的畸變；另外，還提出了一個新的基於高階神經網路的時序模式發現演算法。
  12. Based on the analysis of the magnetic characteristics, an artificial nerural network can be built and the fault samples can be gained by theoretical arithmetic. the results of computation example show that the method can not only judge if shorted field turns exit but also estimate fault turns ratio

    根據該結論構建了發電機故障診斷的神經網路，並直接獲得發電機在額定運行工況下對應的故障樣本，用於故障診斷，不僅對轉子繞組匝間短路故障的存在性，還對故障的嚴重性做出了正確的判斷。
  13. A novel method based on artificial neural network bp algorithm to perform the parametric identification in deep foundation excavation is proposed hi the paper. taking in situs measurements as network input and parameters to be identified as network output, the network is trained with the samples obtained from fem computation

    將某些現場實測值作為網路的輸入，土層物性參數作為網路的輸出，通過有限元正分析模型取得學習樣本來訓練網路，從而達到對深基坑開挖過程中的多層土體的物性參數進行辨識的目的。
  14. The network has the ability of learning, it can only be inputted a series of examples ( samples ), and then the network can acquire the control relation of the data from the samples

    Bp網路具有學習的能力，只要輸入一系列例子（樣本） ，網路就能從這些例子中獲得訓練數據庫中所具有的控制關系。根據bp演算法，繪出bp演算法的流程圖，解釋bp網路的特點。
  15. Despite cost and other advantages, these networks introduce potential problems affecting voice quality. sage instruments provides a suite of voice quality tests to address the qos challenge for next generation networks

    盡管有成本及其他方面的優勢，但是這樣的網路也引入了影響話音質量的潛在問題。
  16. From these data or the operation of these data, the network manager can transpire the data such as the running statement of the equipment, the statement of the network and so on

    網路設備多種多樣，對網路設備的數據採集也是多有不同，具有通用性的數據採集系統是數據採集希望達到的理想類型。本文介紹了論文選題的意義背景，作者的工作內容。
  17. The diagnosis program is made in visual c + +. the samples are trained with this network, during which the relationships between the network parameters ( such as rule number, study rate, expert network initial error and gate network error, circulation times and power index ) and learning error were probed into, and the outcome can provide the basis for network parameter selecting

    並採用visualc + +編制了系統程序，首先通過分層混合專家網路對故障樣本進行訓練，在訓練中對分層混合專家網路各參數（規則數、學習率、門網路中止誤差、專家網路初試迭代誤差、循環次數、加權指數等）與學習誤差平方和的關系進行了探討，其結果為樣本網路參數的合理選取提供了依據。
  18. Regard it as input items of bp network to eight influence factors of the quality of the finished product of clothing, and the product quality qualification rate as output item, bp network turns this question into a nonlinearity issue of multipacket input and output samples

    將影響服裝成品質量的八個因素作為bp網路的輸入項，而該批產品質量合格率作為輸出項，這樣bp網路就把該問題轉化為一個多組樣本輸入輸出的非線性化問題。
  19. At the end of this thesis, we show how to design such nves guided by am - neven, how it is constructed, what its network protocols are, and how the work flow is

    最後，我們給出了基於am - neven的系統的設計和實現方法。介紹了這樣的網路虛擬環境系統的功能模塊，網路協議和基本流程等相關的設計方案。
  20. It is verified that the prediction accuracy of ship maneuvering hydrodynamics, turning motion and zigzag curve are acceptable in practice, if the learning samples, network ' s structure and learning algorithm are reasonable

    研究結果表明，只要選擇適當的學習樣本、網路結構和學習演算法，神經網路的水動力預報精度、回轉運動預報和z形曲線的預報在實際中可以接受。
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