線路適應能力 的英文怎麼說

中文拼音 [xiànlùshìyīngnénglì]
線路適應能力 英文
network adaptability
  • 線 : 名詞1 （用絲、棉、金屬等製成的細長的東西） thread; string; wire 2 [數學] （一個點任意移動所構成的...
  • 路 : 1 （道路） road; way; path 2 （路程） journey; distance 3 （途徑; 門路） way; means 4 （條理） se...
  • 適 : 形容詞1 （適合） fit; suitable; proper 2 （恰好） right; opportune 3 （舒服） comfortable; well Ⅱ...
  • 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...
  • 能 : 能名詞（姓氏） a surname
  • 力 : Ⅰ名1 （力量; 能力） power; strength; ability; capacity 2 [物理學] （改變物體運動狀態的作用） forc...
  • 線路 : 1. [電學] circuit; line 2. [交通運輸] line; route
  • 適應 : suit; adapt; get with it; fit
  • 能力 : ability; capacity; capability
  1. It is generally impossible to obtain the analytic optimal guidance law for complex nonlinear guidance systems of homing missiles, and the open loop optimal guidance law is often obtained by numerical methods, which can not be used directly in practice. the neural networks are trained off - line using the optimal trajectory of the missile produced by the numerical open loop optimal guidance law, and then, the converged neural networks are used on - line as the feedback optimal guidance law in real - time. the research shows that different selections of the neural networks inputs, such as the system state variables or the rate of los ( line of sight ), may have great effect on the performances of the guidance systems for homing missiles. the robustness for several guidance laws is investigated by simulations, and the modular neural networks architectures are used to increase the approximating and generalizing abilities in the large state space. some useful conclusions are obtained by simulation results

    對于復雜的非線性導彈制導系統，很難求得其解析的最優制導律，只能求得開環的數字解，不能適用於具有時變不確定性的導彈制導系統.利用神經網路的學習和推廣能力，對開環的數字最優制導律進行離線的學習，作為閉環的神經最優制導律在線應用.研究分別選擇系統狀態變量和視線角速率等不同的神經網路輸入對制導系統性能的影響，以及各種制導律的魯棒性問題，並採用模塊化神經網路結構提高神經網路的學習和推廣能力，模擬結果得到一些有益的結論
  2. Considering the characters of bp neural network, such as the simple structure, the advisable malleability, self - fitness, self - studying, nonlinear function approximating, the considerable abilities of parallel computing, fault - tolerant and so on, the bp algorithm have been extensively applied to the areas of system modeling, pattern recognition and seismic exploration since 1986. compared with other algorithms, as the above reasons, the bp algorithm has become the most usual and efficient solutions to the artificial neural networks

    由於人工神經網路中的bp神經網路結構簡單，可塑性強，具有良好的自適應、自學習、極強的非線性逼近、大規模并行處理和容錯能力等特點，自1986年rumelhart等人提出以來，被廣泛應用於系統建模、模式識別、地震勘探等重要領域。而bp演算法數學意義明確，步驟分明，是神經網路中最為常用、最有效、最活躍的一種方法。
  3. From the paper, it can be concluded that it is necessary to make many intellectual electronic equipments access the internet in the new era, with the development of the computer, communication and the network technique, and the embedded network platform based on the advanced x86 microcontroller has the characteristics of simplity, clarity and high - adaptability in the applications, it can be widely applied to many industrial fields such as power automation, communication terminal, monitoring and measuring system on line, embedded web, network protocol transformation, intellectual instruments etc

    縱觀全文，得出如下結論：隨著計算機、通信及網路技術的發展，實現大量智能電子設備與internet的結合，即電子設備web化是信息時代的新趨勢。基於本文方案構建的高端x86嵌入式網路平臺具有應用開發簡單快速、靈活適應的特點，可廣泛應用於電力自動化及各種電氣測控設備、通訊終端、在線監測系統、嵌入式web 、網路協議轉換、智能儀器儀表等眾多工業領域。
  4. This paper unfolds engineering disposition and theoretical research of negative temperature high performance concrete ( nthpc ) with the damage of many factors motivation, the project background based on qing - zang railway engineering, which is one of four - emphasized engineering during the tenth five - plan. due to the difference of environment of construction and service between nthpc and ordinary concrete, and therefore durability of nthpc is required to higher level. at a first, nthpc must avoid frozen damage at early age and possess anti - freezing property at later period, in order to meet engineering practicable application need, and this are two emphasized and difficult problems, as for nthpc ; by means of mechanism analysis about deicing - agent ingredient and anti - freezing at early period, adopting composite technique routine of mineral addition + anti - freezing element + water - reducer4 - air - entraining + anti - erosion of steel component etc, based on orthogonal experimental approach, fd - 1 composite functional admixtu re was manufactured, which has more property and orientation on qing - zang railway

    負溫混凝土由於和普通混凝土在施工環境及服役環境上存在的差異，因此表現為比普通混凝土更為較高的耐久性要求；負溫混凝土首先要避免早期的凍害以及具備長期抗凍性能，才能夠滿足工程實際應用的要求，這也是負溫混凝土必須解決的兩大技術關鍵；通過對目前常用防凍劑組分作用機理的分析研究及混凝土早期防凍機理探討，採用礦物外加劑+防凍組分+高效減水劑+引氣+阻銹組分功能復合的技術路線，通過正交試驗設計復配了適應青藏鐵路工程要求的專用多功能復合型外加劑fd - 1 ；並在此基礎上配製不同等級負溫高性能混凝土，開展一系列包括硫酸鹽侵蝕、氯離子滲透、抗凍融循環、收縮及耐磨性等耐久性能研究；通過對fd - 1組分和摻量的調整，優化負溫混凝土在施工特性、力學指標和耐久性三個方面的兼容、協調性。
  5. The artificial neural network is used to tackle an ill - posed problem of the parameter identification and to approximate nonlinear function relationship between the vibration responses of the hydraulic generator and model parameters

    利用人工神經網路具有解決參數識別反問題不適定性的能力，建立了水輪機系統響應與模型參數之間近似的非線性函數關系。
  6. By the network, a optional nonlinear input - output mapping relationship can be realized. concrete mapping relationship materialize at the distributed linking weight values between neurons that build up the ann. due to the strong self - adaptability and self - learning - ability as well as excellent and robustness and tolerance ability, it can not only replace many traditional algorithm which is very complicated and timeconsuming, but also, because the processing to information is more close to person ' s thought activity habit, it provides a new way for solving the prediction of nonlinear system and unknown model

    通過這種網路能夠實現任意的非線性輸入輸出映射關系，具體的映射關系體現在構成網路的神經元之間的分佈連接權上，由於網路具有很強的自適應和學習能力以及魯棒性和容錯能力，它不僅可以替代許多復雜耗時的傳統演算法，並且由於它對信息的處理更加接近於人的思維活動習慣，為解決非線性系統模擬和未知模型的預測提供了新途徑。
  7. First, it applies fuzzy logical in the abstract and non - linear dealing ability ; second, it applies neural net in the self - study and any functions approaching ability ? through combining above two ability, it can find a best p i d non - linear controlling regularity and achieve controlling on line of the unknown subject etco therefore, it not only can strengthen robust and intelligence of the system, but also make design simple and easily be requiredo in addition, the thesis also does many works on procedure of upper - computer and basic - controller and the whole system designed can be put into work immediately

    根據啤酒發酵過程具有大慣性、時滯和非線性等特點，本論文還提出一種基於神經網路的模糊自適應pid控制方案，它一方面利用模糊邏輯的「概念」抽象能力和非線性處理能力，另一方面利用神經網路的自學習能力和任意函數的逼近能力，通過兩者的有機結合尋找一個最佳的p 、 i 、 d非線性組合控制規律，以實現對未知對象進行在線控制，並具備適應控制環境變化的能力和自學習能力等。
  8. Avoiding the use of mathematic models, the fuzzy logical control ( flc ) system meets the control demands of the tunnel ventilation process well which is a nonlinear distribution system. but because of its lacking of learning and adaptive ability, many problems has emerged when using flc : the membership functions of the fuzzy variables cannot be changed, the fuzzy logical rules cannot be modified automatically when environmental variables such as traffic model, average exhaust, etc, are changed. for this reason, the paper uses fuzzy neural network control ( fnnc ) system to improve the control process

    模糊控制系統避開了數學模型，能很好適應公路隧道通風系統非線性和分散式參數特徵，但是模糊控制系統本身的學習和適應能力差，導致了模糊變量各語言值隸屬函數和控制規則不能隨著環境參數（如交通量、基準排放量等）的改變而自動調整和修改等問題，本文將具有強大學習能力的神經網路融合到模糊控制系統中，研究和探討了隧道通風模糊神經控制方法。
  9. Comprehensive arrangement the location of kitchen & toilet in the house, rational division of the space of the kitchen & toilet ( eg. it is necessary to separate the dry from humid space in toilet, the clean from contaminated space in kitchen ), it is emphasized that decent space for kitchen & toilet and some flexible space is advocated in the design, the appurtenances arrangement should be coped with the human engineer, it is better to design pipe well and equipment layer to accommodate the various meters, wires and pipes. in order to save energy and water, it is recommend to use solar energy and the different quality water

    本著「以人為本」的設計思想，提出適宜經濟適用住宅的整體廚衛設計思路和方法，即：綜合協調廚衛在住宅中的位置；對廚衛空間進行合理分隔（衛生間干濕分離，廚房潔污分離） ；廚衛各空間必須具有適宜的空間尺度和面積保障，並提倡具備一定的面積彈性設計；依據人體工效學原理進行廚衛部分設備的綜合布局；利用管道井、設備層綜合布局各種管線儀表；採用分質供水設計系統和太陽能供能系統，達到節水節能；注重廚衛的排煙通風設計，提高室內環境質量；考慮廚衛的適應能力，注重通用設計。
  10. The attitude control algorithm is based on dynamic inverse control method. the algorithm is adaptable, with the use of neural network compensating the error between the model and the real helicopter

    姿態控制演算法採用動態逆控制方法，並利用神經網路在線補償模型誤差，使其具有自適應能力。
  11. Evidence suggests that the prognostic ability of the new model with high stability, when hidden nodes changing nearby input nodes and training times changing at the certain extent, is significantly better than traditional step wise regression model mainly due to the new model condensing the more forecasting information, properly utilizing the ability of ann self - adaptive learning and nonlinear mapping. but the linear regression technique only selects several predictors by the f value, many predictors information with high relative coefficients is not included. so the new model proposed in this paper is effective and is of a very good prospect in the atmospheric sciences fields

    進一步深入分析研究發現，本文提出的這種基於主成分的神經網路預報模型，預報精度明顯高於傳統的逐步回歸方法，其主要原因是這種新的預報模型集中了眾多預報因子的預報信息，並有效地利用了人工神經網路方法的自組織和自適應的非線性映射能力；而傳統的逐步回歸方法是一種線性方法，並且逐步回歸方法只是根據f值大小從眾多預報因子中選取幾個預報因子，其餘預報因子的預報信息被舍棄。
  12. 2. present the characteristics of carrying capacity on mode of separating rail infrastructure from operation to show that traditional calculation methods of carrying capacity cannot adapt the new situation

    （ 2 ）提出網運分離條件下的線路通過能力具有的特點，並分析了傳統通過能力計算方法在「網運分離」條件下的不適應性。
  13. A new distributed compute technique - corba object service, in which event service and naming service are the basic object service, can be used to accomplish a flexible configuration and integration of modules existed in the network architecture, and can provide an open platform for uah flight control components integrating. consequently uah would own the ability to on - line reconfigure and adapt to environmental change

    利用corba對象服務? ?事件服務和命名服務是其中兩個基本的對象服務? ?可實現運行在網路體系中組件的靈活配置和集成，為uah分散式飛行控制系統的集成提供開放式平臺，從而實現了uah的在線重配和自適應能力。
  14. The integrated analyzing and sorting toward ids data, the accurate forecasting of the intruders and common visitors etc, all come down to the multiple data conformity disposal. therefore, it is vitally important to develop a perfect nonlinear conformity disposal method. however, some favorable characters of ann can content these ids working demands perfectly, in additon, the capability of nonlinear mapping of ann also make sure that the system can execute simple or complex classification and save the information into the coefficent of connecting power, maintain the network robust and fault toleration. so more and more people alter one after another their working focus to the nonlinear mathematic model based on the ann in order to resolve the complex problems in ids system much better

    入侵檢測工作屬于分類識別問題，其中存在著大量的非線性問題，對入侵檢測資料進行綜合分析與分類，準確判別惡意訪問和正常訪問等都涉及到多資料的整合處理，因此研製理想的非線性整合處理方法是非常必要的，而神經網路由於其內在的對不確定性的學習與適應能力，恰好能滿足入侵檢測工作分類識別的需求，另外神經網路的非線性映射能力也是保證其成功實現各種簡單或復雜分類的主要原因，它將信息分散式存儲于連結權系數中，使網路具有較高的容錯性和魯棒性。
  15. The calibration and temperature compensation function are implemented through two neural networks modeling. the direct modeling technology enables an estimate of the nonlinear sensor characteristics, whereas the inverse modeling technology estimates the applied pressure. fourth, after comparing the pressure fusion performance with the original adapted neural network and slfm neural network, the simulated results show the idarbf neural

    然後將idarbf神經網路應用於壓阻式壓力傳感器，通過正向建模估計傳感器的非線性特性，反向建模估計融合壓力，並且與原自適應rbf神經網路和slfm神經網路的實現方法作了壓力融合性能比較，模擬結果表明本文提出的idarbf神經網路具有更好的非線性校正能力。
  16. These are the key technologies of srfcs. so, there is far trying in reconstruction field. artificial neural network ( ann ) is a information processing system which is composed of a number of nonlinear computational elements which operate in parallel and are arranged in a manner reminiscent of biological neural interconnection

    人工神經網路（ ann ： artificialneuralnetwork ）是一種自適應信號處理系統，它是一個具有高度非線性的超大規模連續時間的動力系統，它由許多的具有非線性計算能力的計算單元模仿生物神經系統神經元的連接方式連接而成，以并行方式運作。
  17. The specialists at home and abroad in the image processing field have paid high attention and been engaged in the advantages of neural network techniques such as the abilities of parallel computing, nonlinear mapping and self - adaptiveness, and applied a variety of neural network models into the image processing field

    近幾年，隨著神經網路理論的深入研究，神經網路技術的并行計算能力、非線性映射和自適應能力等優點得到了國內外學者的充分重視，各種神經網路模型在圖象處理領域中得到了廣泛的應用。
  18. The applied of demodulation with esa is advanced with which diagnosis precision has been improved, and real time diagnosis and accuracy ratio are satisfied on bearing production line. automatic classification model using integration of adaptive wavelet transform network and self - organizing feature map network is introduced. the strong suits of wavelet and neural network are made use of in this model and bearing fault classification is realized automatically

    第三章提出了一種自適應小波變換網路與自組織特徵映射網路（ self - organizingfeaturemapnetwork - somn ）集成的故障自動分類模型，該模型把小波的時頻局部化優點與神經網路的自學習、非線性映射能力有機結合起來，把高維測量空間中的非平穩信號復雜信息映射到易於分類的二維空間，實現了軸承故障自動分類。
  19. For a long time, user must complete this step with a series of complex methods by hand, and this problem became the choke point in application and development of overlap grid technology. in the moving - grid problem with fluctuant shape, the pre - disposal process of overlap grid is a main difficulty

    對于重疊網格對復雜外形適應能力問題，本文借用拓撲學中關于幾何外形拓撲關系的新思路，即射線判別法，發展出」重疊網格交點判別法」並編寫相應軟體，實現了與幾何外形無關、無須人工干預的通用、自動化重疊網格預處理。
  20. This model matches the real powerline environment better than other models. simulation results show that tcpw makes a considerable throughput increment in comparison with tcp reno and tcp sack over plc system

    在對模擬結果分析后， tcpw協議比其他的協議更適應電力線的通訊特點，能夠得到較好的網路性能。
分享友人
分享到 Line

分享到臉書