推導網路態 的英文怎麼說

中文拼音 [tuīdǎowǎnglùtài]
推導網路態 英文
derived network state
  • 推 : 動詞1 （向外用力使物體移動） push; shove 2 （磨或碾） turn a mill or grindstone; grind 3 （剪或削...
  • 導 : 動詞1. （引導） lead; guide 2. （傳導） transmit; conduct 3. （開導） instruct; teach; give guidance to
  • 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...
  • 態 : 名詞1. （形狀; 狀態） form; condition; appearance 2. [物理學] （物質結構的狀態或階段） state 3. [語言學] （一種語法范疇） voice
  • 網路 : 1. [電學] network; electric network2. （網） meshwork; system; graph （指一維復形）; mesh
  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. Firstly in this part, computer simulation methodology based on the baecher model for generating network of discrete fractures was presented, which includes the follow details : probability distributions of fracture density, orientation, trace length, size, and aperture and estimation of their statistical parameters ; stochastic models of fracture network ; monte - carlo ' s simulation method ; numerical simulation procedure and technicality. then, boundary element method was used to calculate flow through the generated fractured network. assuming single fracture as a two - dimension inexpressible isotropic porous media, boundary element method equations for flow in single fracture and then in fracture network were derived using the weighted residual method

    給出了離散裂隙網路模型所依據的基本假定；發展了基於baecher模型的離散裂隙網路計算機隨機生成技術：詳細地推導了單裂隙滲流和多裂隙相交網路滲流的邊界單元法公式，發展了離散裂隙網路中穩態滲流的邊界元數值技術，並且討論了相關的具體數值技術細節，如角點的處理方法，單元的自動剖分等：描述了混合邊界元?管流模擬方法及其數值實現；研究了裂隙網路的簡化方法，並針對裂隙網路邊界元法的特點提出了一種改進的分塊三角分解法。
  3. 3. the method of drn ' n modeling and predicting is given in this papel the author works out the algorithm, gives the multi - step predicting algorithm, and presefits the convergence theory of the algorithin

    針對艦船運動姿態極短期預報問題，主要研究了drnn模型的建模與預報方法，對該演算法進行了推導，並推導出了多步預報的遞推演算法，還給出了該網路的收斂性定理的證明。
  4. The forward calculation of control signal and back - propagation of network - weight modification equations are given, along with the principle to specify the initial net - weight values. the output of the network is set with limit. simulation shows turbine controlled with the n - pid governor can achieve good static and dynamic characteristic

    推導出了n - pid控制器的前向演算法和反傳演算法，討論了n - pid網路權重初值的確定和對輸出進行限幅的處理，在對使用n - pid控制器的水輪機調節系統所作的模擬實驗中，獲得了良好的動態和靜態性能。
  5. Based on the theory of passive system, we studied the essential conditions, by which chaotic dynamical system was equivalent to passive system. through theoretic proving, we found that using state feedback could make the passive system stable. based on passive equivalence theory, we proved that weakly minimum phase nonlinear system and minimum phase nonlinear system transformed by chaotic system having relative degree 1 could be globally asymptotically stabilized by smooth state feedback

    介紹了無源系統的基本性質及其意義，利用無源性網路理論，分析並推導了一般的混飩動力學系統等效為無源系統所必需的基本條件，從理論上證明了無源系統的可控性? ?利用簡單的狀態反饋即可實現無源系統的穩定控制，從而實現了將最小相位混飩系統及弱最小相位混」飩系統等效為無源系統，即構造混飩系統的控制器，將混飩系統配置為無源系統，實現混飩系統的穩定性控制。
  6. This algorithm recovers the absence of the empiric in the case of the fixed - topology network and generates an optimal topology automatically. we end this chapter with some problems in the future. in chapter 2, we present an evolution strategy to infer fuzzy finite - state automaton, the fitness function of a generated automaton with respect to the set of examples of a fuzzy language, the representation of the transition and the output of the automaton and the simple mutation operators that work on these representations are given

    目前，國內外對神經網路與自動機的結合的研究己取得了一系列成果；在第一章，我們首先將對這些結果以及這個領域的研究思想與方法做一個概要的介紹；然後提出一種推導模糊有限狀態自動機的構造性演算法，解決了模擬實驗中所給出的具體網路的隱藏層神經元個數的確定問題；在實驗中，我們首先將樣本輸入帶1個隱藏層神經元的反饋網路訓練， 150個紀元以後增加神經元，此時的新網路在124紀元時收斂；而blanco [ 3 ]的固定性網路學習好相同的樣本需要432個紀元。
  7. The thesis deals with transient r - surface wave processing and artificial neural networks and develops a way of detecting and estimating the degree of compaction, uniformity, the bearing capacity of the dynamic foundation. r - surface wave theory and its engineering application are discussed. the r - surface wave equation and artificial neural network bp algorithm are deduced

    在深入掌握瑞雷面波理論和人工神經網路理論及其工程應用現狀的基礎上，系統地推導了均勻半空間介質和層狀介質的瑞雷波方程和人工神經網路bp法公式，完善了瞬態瑞雷面波正反演處理軟體，編制了基於人工神經網路bp法非線性處理軟體。
  8. The paper makes research into the multiplayer feedforward networks and dynamic recursive networks, and proposes a method to estimate the speed and rotor flux of induction motors using the dynamic recursive networks. to the used dynamic recursive network model, the off - line dynamic bp algorithm has been reasoned out so as to observe induction motor state variables

    本文分別對多層前向網路和動態遞歸網路進行了研究，提出基於動態遞歸網路的異步電機的轉速估計和磁鏈觀測，針對採用的動態神經網路模型，推導了離線動態bp演算法，以便利用動態遞歸網路進行狀態觀測。
  9. The beginning point of the first research direction is that we design a type of load - balancing virtual topology which is insensitive to the traffic, such plan method has been proposed whose name is vlbs ( valiant load - balancing schemem ), the disadvantage of vlbs is that it can only be applied to the homogeneous network in which each node has the same capacity, in chapter2, a more general valiant load - balancing scheme ( gvlbs ) has been proposed, the advantage of the gvlbs is that it can be used both on the homogeneous network and heterogeous network, in this chapter, we will give the detail derivation process and numerical analysis. the beginning point of the second research direction is that we first design a virtual topology for the physical topology under a specific traffic matrix, for a while, the traffic has changed, the network performence will decline. under such condition, in chpater 3, a virtual topology reconfiguration algorithm is studied which can decrease the average weighted hops

    本文針對動態變化業務量情況下的wdm網路設計方法劃分為兩個主要的研究方向，第一個方向的研究出發點是可以在最初的虛拓撲設計過程中根據物理拓撲情況設計出一種虛拓撲出來，該虛拓撲是負載均衡的，在這種虛拓撲上跑的業務量矩陣特徵只要在某種范圍以內，無論它怎樣動態變化，網路都不會出現擁塞，但這種虛拓撲設計演算法vlbs的一個缺陷是它只能適用於同構網路，即每個節點所擁有的容量大小都相等，在第二章中，本文提出了一種更通用的負載均衡的光網路虛拓撲設計演算法gvlbs ，該演算法與傳統的負載均衡演算法vlbs不同之處在於vlbs演算法只能適用於同構網路而gvlbs演算法既可以適用於同構網路，又可以適用於異構網路，在本章中將給出了gvlbs演算法的的詳細推導和數值分析。
  10. The traffic model and a suit of differential equations presenting the status of the system are given first, from which an objective function is derived, and then the transmission is optimally controlled by the neural network which is characterized by nonlinear map and the particle swarm optimization algorithm which is characterized by stochastic optimization, namely the neural network is employed to generate variable rate of token generation, and the particle swarm optimization algorithm with inertia weight is employed to optimally train neural network in the form of finding a sub - optimal resolution in acceptable computation time

    本文給出了傳輸控制的系統模型及其系統各狀態的差分方程表示，由此推導出了系統的代價函數。然後利用神經網路的非線性映射的功能和基於概率尋優的粒子群優化演算法對系統進行優化控制，利用神經網路控制令牌桶的可變令牌產生速率，利用帶慣性權重的粒子群優化演算法對神經網路的權值進行優化訓練，使其在可以接受的時間內達到次優解。
  11. Analyze and estimate the development of mobile communication industry. then we analyze the success experience of ntt docomo ' s i - mode, the failure teaches of wap promotion in europe, the - competition situation and the advantage & weakness of china mobile group, the character and development situation of china mobile group ' s data services : s ms & gprs. according to market subdivision & orientation, business operation mode, product price - making, product development, business innovation and strategic orientation of the company, we bring up six strategies that china mobile group should take in mobile data service development at present, that is, absorb icp in all aspects and develop different and creative applications & contents fast, establish the object market as soon as possible and provide services according to the demand of different market, make & apply the key technical standards and bring up technical demand to cell phone manufacturers & the other cooperation colleagues, quicken the construction of gprs network & data platform, dominate & promote the development of global mobile business by entering an alliance with the leading enterprises in the world, promote the reorganization of mobile data service section to insure the successful practice of related strategies

    本文首先對中國目前的通信行業的演變歷程進行回顧和分析，特別對移動通信行業的發展進行了全面的分析和預測，通過對nttdocomoi - mode成功經驗及歐洲wap推廣失敗教訓的剖析，結合中國移動通信集團公司當前面臨的競爭態勢以及自身的優勢和弱點，並針對中國移動通信集團公司兩大移動數據業務sms和gprs的特點和發展現狀，從市場細分定位、商業運營模式、產品定價、產品開發、業務創新、運營商的戰略定位等方面，提出了近期中國移動通信集團公司在發展移動數據業務時應採取的六大應對策略，即：廣泛吸納icp ，大力開發豐富多彩、有創意的應用和內容；盡快確定目標市場，提供針對細分市場需求的服務；加快制定並實施關鍵技術標準，對手機製造商和其他合作夥伴提出技術要求；加速gprs網路及數據平臺建設；通過與全球領先的企業建立合作聯盟，主導並推動全球移動業務的發展；推進數據業務部門的組織重組，確保相關戰略的成功實施。
  12. This structure is kind of outer - coalescent. it adopts neural network ' s clustering function to classify the system output, then link a fuzzy controller in form of series which rules are made through the classified result. the design process and the experiment shows the well control effort to the full - bridge series type resonant dc - dc converter, at the same time the whole process avoids not only the modulating parameter process of the traditional method, but also the complexity of the traditional fnn design

    然後本文又對全橋式串聯共振型dc - dc變換器的主電路的狀態方程進行了理論上的推導，從而確定了這種全橋式dc - dc變換器的各種工作模式；然後通過分別對模糊控制和神經網路進行介紹，提出了一種新型的模糊神經網路控制器模型，該控制器模型是一種外接式結合? ?串聯式結合方式，它利用了神經網路的聚類功能，採用了一種再生式神經網路，即elman網路來對系統輸出進行分類，然後根據分類結果設計模糊控制器，這樣就簡化了整個模糊神經網路控制器的設計過程。
  13. This essay has touched upon the following work : 1. has built up theoretic models including static mathematic models of air compressor, combustion chamber, gas turbine, waste heat recovery boiler and steam turbine which are deduced according to the feature and theory of the equipment of the object of study. upon establishment of each model based on the actual conditions, a method of multiple imitation and combination is applied to parts which have already got characteristic curves to have achieved quite accurate curves whilst the method of neural net is applied to the parts which have no characteristic curves for establishment of models

    本文進行了以下的主要工作：建立理論模型，根據對象的實際設備的特點和理論關系推導壓氣機、燃燒室、燃氣輪機、余熱鍋爐、汽輪機的靜態數學模型；根據本研究的實際情況，在建立各部件模型時，對已有特性曲線的部件，採用多項式擬合的方法，得到較為準確的特性，而對部分沒有曲線的特性，則採用神經網路的方法建立模型。
  14. This article analyzed the fuzzy nerve network which unifies by the fuzzy reasoning system and the bp nerve network ( fnn ) simulates the ecology economical system the function, and primarily conducted the research by the water environment target to the ecology economy sustainable development target forecast model, carried on the forecast analysis experiment took guangzhou as the example, the analogue result proved this model validity ; thus provides the valuable reference data and the instruction opinion for the city ecology economical system and the social economy system sustainable development

    以模糊推理系統和bp神經網路相結合的模糊神經網路（ fnn ）來模擬生態經濟系統的功能，並以水環境指標為主對生態經濟可持續發展指標預測模型進行了研究，以廣州為例進行預測分析實驗，模擬結果證明了該模型的有效性；為城市生態經濟系統和社會經濟系統的可持續發展提供有價值的參考數據和指導意見。
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