簡化網路模型 的英文怎麼說

中文拼音 [jiǎnhuàwǎnglùmóxíng]
簡化網路模型 英文
simplified network model
  • 簡 : Ⅰ形容詞（簡單） simple; simplified; brief Ⅱ動詞1 （使簡單; 簡化） simplify 2 [書面語] （選擇人才...
  • 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...
  • 模 : 模名詞1. （模子） mould; pattern; matrix 2. （姓氏） a surname
  • 簡化 : simplify; facilitate; idealization; dilution; simplification; reducing; simplifying; [自動化] red...
  • 網路 : 1. [電學] network; electric network2. （網） meshwork; system; graph （指一維復形）; mesh
  • 模型 : 1 （仿製實物） model; pattern 2 （制砂型的工具） mould; pattern3 （模子） model set; mould patter...
  1. A new model of distribution system is presented, whereby, the feeder switches are regarded as the vertcxes of a graph and the feeder lines are regarded as the arcs. the method to model distribution networks by adjacent table is put forward. therefore, storage size is reduced and calculation is speeded up

    建立了配電網的簡化模型，即將饋線開關當作圖的頂點、將饋線當作弧，採用等長鄰接表的數據結構來描述配電網，大大減少了佔用空間和提高了查詢速度，並建立了基於等長鄰接表的配電網路拓撲演算法。
  2. Marine diesel union fuzzy neural network model can not only reflect the fuzzy character and logicality of main engine, but also avoid the joints between irrelevant parameters, simplify the network structure, and decrease the calculation. 2

    船舶柴油機組合模糊神經網路模型可以反映主機系統的模糊特性和邏輯特性，簡化了網路結構，避免了無關性能參數之間的連接，減少了計算量； 2
  3. In computation of swept volume approximation, an improved technique to generate the swept volume approximation for arbitrary meshes is presented by introducing generator simplification and path resample using frenet moving frames along the discreted sweeping trajectory. other steps, such as a directed distance field computation on a uniform grid based on the hardware accelerated computation technique and iso - surface extraction using marching cubes algorithm, are also included in this algorithm. in addition, the simplification scheme and smoothing technique are applied to the swept volume generated from iso - surface extraction

    本文的主要貢獻在於：在掃描體逼近計算方面，在原有任意多邊形網格模型沿任意路徑運動生成掃描體逼近演算法的基礎上，提出了加入對掃描母體簡化的預處理和用活動標架對掃描路徑進行重采樣等過程，演算法的其它過程還包括：計算掃描體中幾何基元的排列，用硬體加速構造無符號的有向距離場，將無符號距離場轉化為有符號距離場，從有符號有向距離場提取等值面等。
  4. The principle of the neural network models is different from that of the real - time running models. the latter is designed on the engine running, so the effect of the control strategy on engine performance can be observed clearly. while the former works out the solution directly from the testing data, avoiding the complex calculation procedure

    神經網路模型與實時運轉模型的構成原理不同，實時模型以發動機運轉機理為設計依據，使于充分觀測控制策略對發動機各種性能指標的影響；而神經網路模型是根據己有的試驗數據進行直接推理，可避免大量的簡化、推導、求解過程，對于諸多機理繁復的發動機變量而言是一極佳的求解方案，因此就更全面的進行電控系統的調試評估考慮，兩種模型有著良好的互補性。
  5. On the basis of the magnetic circuit structure analysis for the particularity of the structure and the magnetic circuit of the double - stator hybrid direct drive motor ( dshbddm ), the mathematical formula for the important parameters - self - inductance and mutual - inductance of the winding for dshbddm was derived in detail by using the method for the simplified magnetic network model and the characteristic was analyzed

    摘要針對串聯磁路結構雙定子混合式直接驅動電動機結構和磁路的特殊性，在分析電機磁路結構的基礎上，利用電機的簡化磁網路模型，詳細推導出串聯磁路結構雙定子混合式直接驅動電動機的重要參數繞組自感與互感的數學表達式，並對其特性進行了分析。
  6. A novel model for residual fluid catalytic cracking process ( rfcc ) is proposed. it divides the whole reactor into two part : the riser as ideal pipe flow reactor and the sett - ler as ideal cstr. the model contains six lumps reaction kinetics with serial and parallel network

    通過將實際裝置中發生裂化反應的提升管和沉降段反應器分別考慮為理想的活塞流反應器和連續攪拌式反應器，建立了簡化的渣油催化裂化反應6集總組分的串列和并行反應動力學網路模型。
  7. Thus scale - measurement - dimension constitutes the fundamental concepts of this project. the scaling laws are derived from different perspectives, using entropy - maximizing methods in macro - level and utility - maximizing method in micro - level, consequently a pair of dual models based on the idea from nonlinear programming are built to interpret both the scaling laws and thus power laws. a discovery is that the energy and information can be transformed into each other in urban systems

    藉助熵最大化方法從宏觀上推導了標度律，利用效用最大化原理從微觀上導出了標度律，然後建設了熵與效用最大化的對偶轉換模型;通過對簡單的網路模型的研究，論證熵與效用最大化過程本質上是追求系統整體上的最高效率與局部公平合理。
  8. Thirdly, the weight and threshold of bp neural network model was optimized by genetic algorithm ( ga ), which has stronger macroscopic search and global optimization property, based on bp network model of the preparation of superfine quartz powder. this model is named ga - bp, and improves the generalization capability and the parameters forecast precision of bp network model, and was proved to be correct by both theoretical analysis and experiment

    再次，本文以粉石英制備的bp網路模型為基礎，利用遺傳演算法（ ga ）較強的宏觀搜索能力和良好的全局優化性能，對bp網路模型的權值和閾值進行優化，極大地提高了bp網路模型的泛化性能和參數預測精度，將經過ga優化后的bp網路模型簡稱為ga - bp網路模型。
  9. The fault samples with the signal of zero or one and the model of bp neural network are established, in accordance with nine faults of pulverizing system for chongqing power plant. during the course of the samples compilation, produce rule 、 neural network representation etc are synthesized to organize and express the fault sample of pulverizing system. before being putted into the database, the sample data is disposed to ensure sample data integrity and no redundancy

    本文針對重慶發電廠制粉系統九種故障建立了以0 、 1為徵兆量的故障樣本和相應的bp神經網路模型，且在制粉系統故障及其相關故障樣本編輯過程中，應用了神經網路產生規則式、框架式等知識表達方法，有效的表達制粉系統故障及其相關故障診斷知識，並且為保證數據的完整性，減少數據冗餘，對數據庫進行了規范化處理，簡化了數據結構和避免了數據沖突。
  10. 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。
  11. Abstract : artifical intelligence methods are implemented to simulate thebehaviors of axially and laterally loaded piles using the field observation tests data obtain ed f rom the drilled shafts and driven piles. the optimal neural network model is deve loped using only simple input data of spt - n values and piles ' geometrical featu r es etc. the analysis for r. c piles of some projects is performed adopting the bp n n and grnn models respectively, and the obtained predicated results are compared w ith the data from conventional design method. it demonstrated the obvious advanta ges of neural networks in the design of pile foundations over the traditional me thods. this paper has an important practical significance and a referential worth iness in the design of pile foundations

    文摘:根據鉆孔樁和打擊樁的原型試驗觀測的數據，運用人工智慧方法對橫向承載樁和軸向承載樁的工作特性進行模擬，並利用標準貫入試驗（ spt - n ）值和樁的幾何特性等簡單的輸入數據，開發出相應的優化神經網路模型;然後，運用反向傳播神經網路模型和廣義回歸神經網路模型分別對某工程的鋼筋混凝土樁進行分析，並將求得的預測結果與常規設計法的結果進行比較，結果表明神經網路方法比傳統方法有明顯的優越性，在實際工程設計中具有重要的參考價值和現實意義。
  12. Simulation results show that the method is very simple to application and has also a good precision. non - parameter neural network model of the cable - damper system is formatted. based on the damping force and responses for past time steps, responses at the next time step can be predicted accurately with the non - parameter model

    3 、應用神經網路技術對參數識別和非參數化建模問題進行了研究，提出一種直接識別結構物理參數的神經網路識別方法，該方法演算法簡單，識別精度高；建立了拉索-阻尼器系統的非參數神經網路模型，該模型根據過去幾個時間步的阻尼力及結構響應能精確預測下一時間步的響應。
  13. But in the process of lessening the decoupling degree, the ranks of equivalent controlled channels will be augmented. thus, the reduced model is exploited in decoupling process in order to resume the plant prosperity which are distorded. it has greatly lessen the difficulty in group decoupling

    本文結合生產實踐，在分析系統耦合度的基礎上，利用分組解耦來弱化系統的耦合度，並利用模型降階方法簡化解耦網路模型，較好地解決在逐次弱化過程中使解耦后的等效控制通道的階次增大的問題。
  14. Abstract : a method is proposed in order to accelerate the convergence of artifcial neural network ( ann ) modeling of chemical process, in which the principal components analysis is applied in the data processing in training sets. the result shows that the correlation of input variables could be eliminate and the structure of network could be simplified by this method. moreover, the precision of obtained ann model could attain to the desired accuracy

    文摘:達到提出應用主成分分析法對樣本進行預處理，減少網路的輸入因子數，消除輸入因子間的相關性並簡化網路結構，達到提高網路學習速率的目的，得到的人工神經網路模型能達到所要求的精度。
  15. This research addressed an urban traffic intelligent control system, which adopts a multi - agents coordination in urban traffic control to coordinate the signal of adjacent intersections for eliminating the congestion of traffic network. an agent represents a signal intersection control, and multi - agents realize coordination of multiple intersections to eliminate congestion. based on recursive modeling method and bayesian learning that enables an agent to select his rational action by examining with other agents by modeling their decision making in conjunction with dynamic belief update. based on this method, a simplified multi - agent traffic control system is established and the results demonstrate its effectiveness. it is very important for its

    本文中提出一種城市交通智能控制系統，針對城市交通網路中相鄰交叉口的交通流可能相互沖突，即局部交通流的優化可能引起其他區域交通狀況的惡化的問題，採用多智能體協調控制方法來協調相鄰交叉口處的控制信號消除網路中的交通擁塞.提出以一個智能體的方式實現一個信號燈交叉口控制，對多個信號燈交叉口形成的交通網路採用多智能體協調控制的方式實現網路流量優化來消除擁塞.文中提出由遞歸建模和改進的貝葉斯學習相結合的多智能體系統來使智能體可以確定其他智能體的準確模型並實時更新信息，並基於上述方法在簡單的交通網路模型上建立了多智能體交通控制系統，模擬結果表明了方法的有效性，對實現智能交通系統有重要意義
  16. In a word, this new middleware based nm model has a multi - layer and distributed architecture, object oriented design for the management information and a clear communication model based on middleware. this new model will be more flexible, convenient and efficient by no means

    總之，基於中間件的網路管理模型具有分散式多層體系結構，面向對象的管理對象設計和架構在中間件上的簡化的通信模型，較以前的網管模型設計實現靈活、方便、有效。
  17. In this paper, we create the network, node and process model using opnet software to simulate throughput performance of aos packet service, and choose various combinations of source packet length, transfer frame length and channel error rate to form different simulation scenarios. by analyzing the throughput - packet length, throughput - frame length simulation curves at different channel ber we get the optimal packet length and frame length configurations, and give some advice for the optimization of protocol configuration parameters according to throughput performance metric ; the complete node and process model of aos protocol have been built by opnet software, and a simple network scenario has been built to simulate and verify the validation of the protocol model

    本文在建模模擬方面，用opnet軟體建立模擬aos協議包業務吞吐量性能的網路、節點、進程模型，選取不同的包長、幀長與通道誤比特率組合建立模擬場景進行模擬，得到不同誤比特率條件下吞吐量-包長、吞吐量-幀長關系曲線，經過分析得出最大吞吐量對應的最佳幀長、包長配置，給出以吞吐量性能為指標優化協議配置參數的建議;用opnet軟體搭建aos協議封裝節點模型和各個進程模型，建立簡單網路場景進行模擬驗證協議封裝節點模型的有效性。
  18. Third, generation rule device in this model also uses the genetic algorithm to generate rule. but this genetic algorithm is different from the genetic algorithm used to optimize bp nerve network. their different point is that space of solution in this genetic algorithm isn ’ t a simple number value and space of string, but a space of function

    第三、該模型中的規則生成器也是使用遺傳演算法來生成規則，但是這里的遺傳演算法和遺傳演算法優化bp神經網路模塊中的遺傳演算法不同之處在於此遺傳演算法的求解空間不是簡單的數值與符號空間而是函數空間，它所得到的結果不是一個簡單的定長字元串，而是表示待求解問題的一個求解模型的字元串。
  19. The training of the multi - resolution neural networks in parallel is simple. but the generalization ability is bad compared to the other multi - resolution neural networks. so we use the multi - resolution fuzzy neural networks model

    並聯混合神經網路訓練方法簡單，但泛化能力不強，因此，本文採用anfis的混合模糊神經網路模型，與並聯的混合神經網路相比，其泛化能力和建模精度都有了提高。
  20. Because any component ( including segtion of line ) in distribution network belongs to the main line or branch line, this aogorithm classfies all the components in the distribution network into two type of aggregated components, feeder - node component and branch line - node component, and thinking the component fault is equivalent to the corresponding node component fault, adopting binary tree as the model of distribution network is very fast to traverse all the nodes and search of any node in the network

    根據配電網路中任一元件位於饋線或分支線這一特點，將整個網路的元件組合成饋線節點和分支線節點兩種集合元件，從而將元件故障等效為相應的節點故障，實現對配電網路模型的簡化，採用二叉樹模型作為演算法的數據結構，易於實現對整個網路節點的遍歷及節點的搜索。
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