網狀模型 的英文怎麼說

中文拼音 [wǎngzhuàngmóxíng]
網狀模型 英文
network model
  • 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...
  • 狀 : Ⅰ名詞1 （形狀） form; shape 2 （情況） state; condition; situation; circumstances 3 （陳述事件或...
  • 模 : 模名詞1. （模子） mould; pattern; matrix 2. （姓氏） a surname
  • 網狀 : nets （土紋）; dicty-; dictyo-網狀脈 [地] network vein; [植物學] netted [reticulated] veins
  • 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. To deal with this problem, a net like model of the knowledge - oriented manufacturing system was constructed which was applicable in bottleneck analysis in flexible product line

    為此，建立了知識化製造系統的網狀模型，該模型適用於柔性生產線的生產瓶頸分析。
  2. In this paper, systemic theoretic analysis of the relationship of stock structure and operating performance is progressed, based on this, theoretic study and demonstration analysis organic fall together, and the neural networks model that can reflect their relationship total and systemic is established. the input variable of the model can reflect the panorama of stock structure, also, it can embodiment other influence factor of company performance. the evaluation target system that can reflect the operating condition of listed companies completely, impersonality and truly is advanced, at the same time, the best result weights confirm method is brought forward, thereby, the fuzzy integrate evaluations method is improved

    本文對股權結構與經營績效之間的關系作了系統的理論分析，並在此基礎上，將理論研究和實證分析有機地結合起來，建立了一個能全面、系統地反映它們之間關系的神經網路模型：該模型的輸入變量在反映股權結構全貌的同時又體現了公司績效的其它影響因素；提出了可以全面、客觀、真實地反映上市公司經營狀況的評價指標體系，同時提出了最佳結果權重確定法，從而改進了模糊綜合評價方法，並利用改進的模糊綜合評價法求出公司經營績效的綜合量化值作為神經網路的期望輸出；改進了神經網路模型的演算法，使其在樣本數據相對較少的條件下也能很好地在性態上模擬被逼近函數。
  3. In the border router, we design a new diffserv scheduler ( bswcs : bit - based weight time slot compensate scheduler ), which dynamically adjust the weighted quantum of service. combined with the error concealment technology in the video decoder, in case of severe congestion which cause losing a lot of ip packets, these algorithms have been proved effective, hence the delay, jitter and the perceived picture quality all meet requirement for real - time video transmission

    4建立了一個區分服務網路模型，根據視頻編碼的特點，提出了一種針對視幀傳輸的新的服務優先等級標識演算法，即根據不同視頻幀解碼時的重要程度和網路的傳輸狀況將不同視頻幀的數據包標記為不同等級，賦予不同的質量保證。
  4. A three - tiered artificial neural network ( ann ) model with a feed - forward, back - propagation net - work structure was developed to forecast river flow in the manwan reservoir

    摘要以雲南省漫灣水電站歷史徑流狀況為研究對象，運用三層前饋反向傳播神經網路模型對徑流進行中長期預報。
  5. In the paper, the following main factors are studied, such as developing the expert knowledge - base based on the special knowledge of the explosive demolition of frame building, designing the object - oriented expert system of the explosive demolition of frame building, developing the neural network training example base based on projects, developing the forecasting mode of blast effects with matlab 6. 1, developing the expert system of explosive demolition of frame building with visual b 6. 0, carrying out the connection of the expert system and forecast mode. the system consisted of eleven functional modules, such as the input of initial parameters module, the choice of the blasting method module, the choice of blast mode module, the design of blasting parameters module, the design of charge module, the verifying blasting safety module, the calculating safety of tumble module, the design of detonating net module, the blast effects forecasting module and the calculating volume module

    本文的研究內容有：以框架結構樓房拆除爆破領域的專業知識為基礎製作專家系統知識庫；設計一般面向對象的框架結構樓房爆破拆除設計的專家系統；搜集相關爆破工程實例製作用於爆堆效果預測神經網路訓練的樣本數據庫；選取適當的輸入輸出因素，用matlav6 . 1構建爆破效果預測神經網路模型；用vb6 . 0編程開發出框架結構樓房拆除爆破專家系統，並實現爆破效果預測神經網路模型和專家系統的鏈接。該系統由初始參數輸入、倒塌方法選取、倒塌方案確定、孔網參數設計、缺口形狀及參數、爆破安全校核、傾倒安全校核、爆破網路、爆破效果預測、工程量計算、計算設計說明書等十一大功能模塊組成。
  6. 5 ) a neural network fusion model is set up, which combines on - line data with off - line data. through analysis the data of steering propellers in tugboat, the model are trained and validated. results showed that different kinds of data through fused in the model can improve the veracity of condition monitoring 6 ) based on the concept of virtual instrument technology, the instrument driver program and panel application program are designed

    5 ）設計了在線數據和離線數據融合的神經網路模型，通過對船舶舵漿裝置的油樣數據分析，進行了模型訓練和驗證，結果表明:該模型判斷結果完全正確，融合模型的提出將兩種不同類型的在線傳感器數據和離線分析數據綜合分析，可以辨識設備的故障類型，提高狀態判別的準確性。
  7. In the second chapter, under the characters and requirements of mc - oriented product structure management, a product function module which is based on module technology is presented ; the characters of bom under the basis of mc is analyzed ; bom is divided to assemble - product - bom and function - structure - bom based on the stratum ; the tree structure model is revised and a net structure model is introduced ; the realization of the tree structure is discussed in the end. in the third chapter, the shorts of the available reusing technology of the manufacturing process are analyzed at first

    第二章根據大批量定製條件下產品結構管理的要求和特點，提出了基於組件技術的產品功能模塊技術；分析了大批量定製條件下bom的特點，按照訂單生產和多項目管理的特點，將bom按層次劃分為組合產品bom和功能結構bom ；改進和提升了已有的樹狀結構模型，引入了部分網狀模型；最後討論了大批量定製條件下產品結構樹的實現和產品結構的后續增補。
  8. The following conclusions have been drawn from this research program, : ( 1 ) the model following architecture allows for straightforward implementation of requirements of handling quality standard, and it can be utilized for helicopter handling quality design. ( 2 ) the adaptive model - inverse control theory can provide the referenced helicopter with consistent handling quality throughout its operating envelope, with requiring only an approximate linear model at a single operating point. ( 3 ) the technology of adaptive neural network model - inverse control can reduce costs and period associated with pcs development

    通過該課題的研究，得到以下結論： （ 1 ）參考模型跟蹤結構能夠直接實現飛行品質規范要求，可以用於直升機飛行品質設計； （ 2 ）自適應模型逆控制方法只需一個基準狀態下的近似線性模型，卻可在整個使用包線內提供協調一致的飛行品質； （ 3 ）自適應神經網路模型逆控制技術可節約成本，縮短飛控系統研製周期； （ 4 ）在某些部件部分意外失效或戰損情況下，自適應神經網路具有實現控制的在線快速重新配置、保持飛行品質的潛力； （ 5 ）軌跡跟蹤控制器可以用於任務科目基元模擬及飛行品質評估。
  9. The artificial neural network model which forecasts open mining slope stability is established by neural network theory and method. the article describes the nonlinear reflection relation between stability target of open mining slope and its influence factor. the article brings forward the method of forecasting open mining slope stability

    利用人工智慧中的神經網路原理和方法，建立了露天礦順層邊坡穩定狀態預測的神經網路模型，描述了礦山邊坡穩定指標與其影響因素的非線性映射關系，提出了露天礦邊坡穩定性預測的神經網路原理和方法。
  10. According to the boiler ' s practical condition, two feasible methods to determine the diagnosing characteristic parameters are brought out, one is based on the system ' s energy - distribution principle and the other is based on the system ' s energy - balance relation, on the basis of the above research, in order to carry out on - line monitoring and diagnosing for air leak state in power station boiler, the artificial neural network is adopted as the intelligence diagnosis tool, the air leak diagnosis scheme based on the principles of system energy - distribution and system energy - balance relation is presented firstly and then the different diagnosis models of artificial neural network are built respectively

    作者根據電站鍋爐漏風的實際情況，提出了兩種確定系統漏風狀況診斷特徵向量的可行方法，即基於系統能量分配原則的提取漏風診斷特徵向量的方法和基於系統能量平衡關系的提取漏風診斷特徵向量的方法。在此研究基礎上，本文採用人工神經網路作為智能診斷實現工具，提出了基於系統能量分配原則和基於系統能量平衡關系的漏風診斷方案，分別構建了不同的漏風診斷神經網路模型，以實現電站鍋爐漏風狀況的在線監測與診斷。
  11. 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
  12. On the basis of analyzing two kinds of assembly model structures, the hierarchical tree shaped model and the relationship net model, and in accordance with the requirements of assembly sequence planning, the product ' s assembly information model that satisfied the assembly sequence planning was established by applying the object orientation method, and the corresponding data structure was put forward, thus provided reason able information frame of product for the sequence planning of virtual assembly

    摘要在分析了層次樹狀模型與關系網路模型這兩種裝配模型結構的基礎上，根據裝配序列規劃的要求，應用面向對象的方法建立了滿足裝配序列規劃的產品裝配信息模型，提出了相應的數據結構，為虛擬裝配序列規劃提供了合理的產品信息框架。
  13. 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。
  14. Moreover, in order to capture the linear properties in aerodynamic coefficients, additional linear terms are added to the model, which make the wavelet network model has some definite physical significance in use

    另外，本文在小波網路模型中加入狀態變量的線性項，以反映氣動力系數中的線性特性，這對于實際應用是非常有意義的。
  15. This paper first introduces the aspects of network performance research based on traffic measurement, modeling and analysis and its state - of - the - art, secondly summarizes then the concept, models and analysis tools of self - similar traffic, and analyzes scaling behavior of packet loss with self - similar traffic input by wavelets method, thirdly introduces hidden markov model and its applications on network performance research, and then explores the cross - traffic inferring technology and the disadvantages of existing methods. after that the paper develops a new method for cross - traffic inferring based on delay jitter measurement, proves its correctness by experiments, and applies it to self - similar traffic background and real traffic trace to investigate its availability,

    本文首先闡述了基於流量測量與分析的網路性能研究方向和研究現狀，而後介紹了自相似流量的基本概念和相關建模和分析技術，並採用小波分析的方法分析了單路復用網路模型在自相似流量下丟包的尺度特性，其次介紹了隱馬爾可夫模型以及其在網路性能研究中的應用，最後在此基礎上考察了網路流量推斷技術，分析了現有的方法的不足之處，提出了一種新的基於探測流延遲抖動測量的流量推斷測量技術，通過實驗證明了該方法的正確性，然後將其應用到自相似流量背景下考察了其對自相似性的推斷刻畫能力，並且通過實際流量檢驗了其有效性。
  16. In order to construct low - priced, reliable intelligent network in the uptown, to meet the demands of safety and information management in the intelligent uptown, i studied the fieldbus technology and one of its solutions ? can technology. base on our country condition of intelligent building system and development tendency in the future, i made a suggestion on technical precept of can + rs485 double deck bottom network, to design a intelligent network model of uptown safety, field measurement and signal transmission. this model is base on can technology

    為了構建低廉、可靠的住宅小區智能化網路，實現智能小區安全防範、信息採集的要求，本人對現場總線技術和它的一種解決方案? can網路技術進行了研究，並針對我國目前小區智能化系統的現狀及未來的發展趨勢，提出了「 can + rs485 」雙底層網路的技術方案，設計實現了小區安全報警和多表的現場計量與遠程傳輸的智能網路模型。
  17. Five factors of effecting specify the bearing capacity of drilled grouting pile ( engineering properties of soil, structural dimension of pile, stiffness of pile, time ) have been concluded through introducing the transmission of load mechanism of drilled grouting pile. at the same time, the effecting parameter has been collected. the paper build the ann model in predicting ultimate bearing capacity of drilled grouting pile and discuss in detail the extraction of inputting nodes information when quoting the fundamental principle of ann model and introducing research process of the improved bnn

    本文簡要介紹了樁基承載力的研究現狀並指出將神經網路引入樁基工程的意義，從介紹單樁荷載傳遞機理出發總結了影響單樁極限承載力的五種因素（樁周土的工程性質、樁身結構尺寸、樁的剛度、時間以及施工工藝）並提取了相應的參數；引用神經網路基本原理，詳細介紹了改進bp神經網路的研究過程，從而建立了預測鉆孔灌注樁極限承載力的神經網路模型；並詳細討論了本模型的神經網路輸入結點信息的提取，在工程實例的基礎上進行了數值計算。
  18. Abstract in order to solve the problems of conventional resource discovery framework, a hierarchy - based model was discussed, which combined super - peer model and contact node, a membership join protocol was introduced, and a resource discovery algorithm was proposed based on time to live ( ttl ) limit and cache list

    摘要為了解決傳統資源發現機制不能很好地適應網路狀態、可擴展性較差等問題，在超級節點模型的基礎上，結合聯系節點，建立了一種基於層次結構的網格模型，設計了成員加入協議，給出了基於跳數限定、緩存列表的資源發現演算法。
  19. Chaos genetic algorithm for optimizing neural network - based state model for pipe network

    混沌遺傳演算法優化管網狀態神經網路模型
  20. The article applied the mathematical statistics to find some main factors of correct inventory and found an efficient method by establishing neural network mode

    摘要從影響合理庫存的諸多因素中，利用數理統計的思想，找出若干主要指標，通過建立神經網路模型，進行模擬模擬，尋求一種解決問題的有效方法，把庫存調整到理想的狀態。
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