網點平滑法 的英文怎麼說

中文拼音 [wǎngdiǎnpínggǔfǎ]
網點平滑法 英文
grid smoothing
  • 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...
  • 點 : Ⅰ名詞1 （液體的小滴） drop （of liquid） 2 （細小的痕跡） spot; dot; speck 3 （漢字的筆畫「、」）...
  • 平 : Ⅰ形容詞1 （沒有高低凹凸 不頃斜） flat; level; even; smooth 2 （高度相同; 不相上下） on the same l...
  • 滑 : Ⅰ形容詞1 （光滑; 滑溜） slippery; smooth 2 （油滑; 狡詐） cunning; crafty; slippery Ⅱ動詞（貼著物...
  • 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...
  • 網點 : branch
  1. For a class of series - wound active power line conditioner the design approach law of a new fuzzy integral sliding mode variable structure control is presented. this method adjusts power electronic switch in order to achieve anticipated balance volt, finally makes active power line conditioner not only possess good robustness of variable - structure control and decrease vibration to the most but also increase the steady state precision. series - wound aplc adopted this control method possesses good dynamic and steady state performance

    針對串聯型有源電網調節器運用變結構控制策略，調節電力電子開關模式，以獲得預期的平衡電壓，對串聯型有源電網調節器提出了模糊積分變結構控制方法，使串聯型有源電網調節器既保持了常規滑模控制強魯棒性的優點，又減弱了滑模控制的抖振，提高了系統的穩態精度，使系統具有良好的動態和靜態性能，模擬試驗表明該控制策略是一種十分有效的控制方法。
  2. Referring to some type of the structure such as plane truss, grid truss and grid shell, the author dissertates the common construction technique including whole installation, integral propping up, integral lifting, high altitude construction in bulk, member assembly and sliding construction

    結合大跨度鋼結構的各種形式，如平面桁架、網架、網殼等，概要的論述了其一般的施工方法、工藝和技術要點，包括整體吊裝法、整體頂升法、整體提升法、高空散裝法、分單元吊裝法和高空滑移法。
  3. The paper analyze many methods of water demand prediction which include many up to date methods and some in common use, and it bring forward some new combinatorial methods which can meet the need of optimization model in precision, such as season exponent, auto adapt filter, season exponent combined grey model, etc. based on the cost and time of modeling jt mainly study the macroscopic network model which describes the correlation between nodal pressures and water plant discharge

    針對時用水量預測模型，採用季節指數法、自適應指數平滑法、季節指數聯合自適應過濾法、指數平滑聯合自回歸法、季節指數聯合灰色系統法等具體預測方法，其中數種方法預測精度達到工程要求。實踐結果表明，開發的聯合法效果較好。考慮到管網宏觀模型不但能描述整個管網的工作狀態，而且建模所需成本低，運行速度快，省時省力，主要研究了管網宏觀模型的建立方法，分析測壓點布置原理並編製程序。
  4. Based on collected and read literatures, this paper gives the analysis of its characteristics, architecture, security problem, qos problem, and comparison among present popular wireless ad hoc routing algorithm as well. 4. according to the characteristics of wireless network situation of wearable computer, this paper comes up with a wireless network frame for wearable computer based on lsr ( link state routing protocol )

    （ 4 ）結合可穿戴計算機無線網路環境的特點，在對自組網路由選擇演算法比較分析的基礎上，提出了一種適用於可穿戴計算機無線網路的基於混合路由策略的lsr （ linkstateroutingprotocol ）路由協議的框架，它能夠根據網路拓撲結構變化的不同程度在先應式和后應式路由策略之間進行自然平滑的切換。
  5. The aimd has got a widely apply for its briefness and ease. at the other hand, it contain limited information because it has only two status : overload or under load. it cannot represent the true demand of the receiver and at the same time the policies of window adjust destroy the demand of smoothness of load, so it cannot afford the request of real - time streaming media

    Aimd從演算法的簡單性和實際網路容易實現的角度考慮，反饋給發送方的信息有限，只有過載或欠載兩種二進制狀態； aimd演算法根據瓶頸資源的擁塞狀態向所有用戶發送相同的反饋信號，並不能真實反映接收節點對發送方負載量的要求;同時， aimd的窗口調整策略破壞了負載平滑性的要求，不能滿足當前實時流媒體應用， aimd的這些不足，體現了一種性能和系統復雜度之間的折衷。
  6. The main factors of probabilistic neural network including the hidden neuron size, hidden central vector and the smoothing parameter, to influence the pnn classification, are analyzed ; the xor problem is implemented by using pnn. a new supervised learning algorithm for the pnn is developed : the learning vector quantization is employed to group training samples and the genetic algorithms ( ga ’ s ) is used for training the network ’ s smoothing parameters and hidden central vector for determining hidden neurons. simulations results show that, the advantage of our method in the classification accuracy is over other unsupervised learning algorithms for pnn

    本文主要分析了pnn隱層神經元個數，隱中心矢量，平滑參數等要素對網路分類效果的影響，並用pnn實現了異或邏輯問題;提出了一種新的pnn有監督學習演算法:用學習矢量量化對各類訓練樣本進行聚類，對平滑參數和距離各類模式中心最近的聚類點構造區域，並採用遺傳演算法在構造的區域內訓練網路，實驗表明:該演算法在分類效果上優于其它pnn學習演算法
  7. Although the congestion control research of host - ends has made great strides, the current queue management mechanism in router is not able to provide end - to - end congestion control mechanism to sustain the above environment, namely, the unfairness of assigned bandwidth or drop - rate for different types of flows and the synchronization of all tcp flows in network. so it is necessary to improve the classical queue management mecnanism such as drop _ tail and red in order to boost the qos ( quality of service ). this article analyzes the main traits of host - ends congestion control and all kinds of fashionable queue management machanism, which include queue mechanism with absolute priority, weighted fair queue mechanism and class - based queue mechanism

    本文分析了主機端的擁塞控制機制和網路中路由器的現有各種隊列管理機制：絕對優先級隊列機制、加權公平隊列（ weightedfairqueue ） [ 1 ]機制、基於類的隊列（ class - basedqueue ） [ 2 ]機制以及red （ randomearlydetection ） [ 3 ]機制的主要特點，並重點針對ietf （ internetengineeringtaskforce ）推薦的把red演算法與明確的擁塞通告ecn （ explicitcongestionnotification ） [ 4 ]結合的方法進行了分析，發現隨著internet流量的日益遞增， red機制的依賴平均隊列長度來管理擁塞控制的演算法並不能有效地阻止包丟失：與drop - tail相比， red確實消除了對陣發流量（ tcp ）的偏見，但是增加了平滑流量（ udp ）的丟包概率。
  8. First, because pipelines are so complex that controlled object is high order, delay, coupling, nolinear and time - varing, it is difficult to realize closed loop control for it using valid mathematic model. to resolve this problem, the paper presents a fuzzy - pid control algorithm with self - adjusting regulation factor. second, if a moving motor supplied by inverter power is switched to be supplied by power supply, the impact of overload - voltage and overload - current appears

    主要針對中、大容量供水系統中，由於供水管網鋪設復雜、彎管多、控制對象具有高階、滯后、耦合、非線性及參數時變的特點，難以利用有效的解析式數學模型進行閉環控制，以及多臺水泵並聯運行時，水泵電機由變頻電源供電向工頻電源供電切換過程中產生的過電壓過電流沖擊這兩個難題，提出了可調整因子fuzzy - pid控制演算法及利用鎖相環控制實現水泵電機由變頻電源向工頻電源的同頻同相平滑切換。
  9. Trend prediction and fault diagnosis tech., etc. the information intelligent processing technology facing the application is presented as an emphasis. after introducing the development situation and the whole pattern on related fields, this paper describes several algorithm applied in the simulation experiment, including direct multi - steps nonlinear autoregressive - moving average ( narma ) prediction model based on diagonal recurrent neural networks and fuzzy neural networks model based on generalized probability sum ( gps ) and generalized probability product ( gpp ), and lists the algorithm steps facing the application

    作為重點，本文辟用了較大的篇幅討論面向應用（主要是趨勢預測與故障診斷）的集成智能信息處理技術，在介紹相關領域的發展情況和總體格局之後，重點闡述了幾種基於神經網路的智能演算法，包括基於對角遞歸神經網路（ drnn ）的直接多步非線性自回歸滑動平均（ narma ）預測模型，以及基於廣義概率和（ gps ）與廣義概率積（ gpp ）兩種運算元的模糊神經網路模型，給出了它們的詳細演算法及面向應用的運算步驟。
  10. And emphasizes on the introduction of the choosing strategy of neural network structure, the method of smoothing and generalizing load data and the studying and forecasting process of the stlf model which adopts the revised bp algorithm

    重點介紹了神經網路結構的選定策略，對歷史負荷數據平滑、歸一化處理的方法和採用改進bp演算法的綜合模型在短期負荷預測中的學習和預測過程。
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