modeling and identification 中文意思是什麼

modeling and identification 解釋
建模與辨識
  • modeling : n. 製造模型的方法，造型（術）；塑像術；【美術】立體感（表現法）；模特兒職業。 the modeling of one's features 某人臉部的形象。
  • and : n. 1. 附加條件。2. 〈常 pl. 〉附加細節。
  • identification : n. 1. 認出，識別，鑒定，驗明（罪人正身等）。2. 【心理學】自居作用。3. 身分證。4. 【數學】黏合，同化。
  1. Because it is impossible to adjust the air bearing absolutely balance, the difference between mass center and rotation center must lead to a notable gravity disturbance torque. in the process of identification, modeling and identification of gravity disturbance torque is considered, and an extended kalman filter is educed for identifying air bearing inertia matrix and gravity disturbance torque, and then the algorithm is validated

    由於氣浮臺平衡調試方法和手段的限制，實驗過程中氣浮臺質心與轉動中心有一定的位置偏差，必將導致較大的重力干擾力矩，在辨識演算法的推導過程中，重點考慮了重力干擾力矩的建模和參數辨識問題，推導了氣浮臺的轉動慣量和重力干擾力矩辨識的擴展卡爾曼濾波演算法，並對演算法進行了數學模擬和全物理模擬驗證。
  2. Modeling and identification of the stratospheric airship

    平流層飛艇的建模與辨識
  3. In accordance with the problem that the fcm algorithm is quite time - consuming for search out cluster cancroids and may not be suitable for on - line modeling and control. this dissertation proposed an improved fuzzy identification method based multistage random sampling fuzzy c - means clustering algorithm ( mrfcm ). it has higher approximate precision and the cpu time has slowed down sharply compared with the common fuzzy

    Johnyen和liangwang介紹了幾種應用於模糊模型的信息優化準則，本論文在此基礎上對統計信息準則進行一些改進，並與快速模糊聚類和正交最小二乘方法結合，提高了模型的辨識精度和泛化能力。
  4. E. tva load model structure, which is more adaptive to the measurement - based load modeling. based on the presented model, the dissertation further researches and applies the least square algorithm in classic system identification theory as well as the simplex method and the genetic algorithm in modern system identification theory to identify the load model

    在廣泛研究現有典型負荷模型結構的基礎上，論文提出了適用於量測建模的時變適應的負荷模型（ tva負荷模型） ；進而研究並綜合應用傳統辨識理論中的最小二乘辨識法和現代辨識理論中的單純形法、遺傳演算法進行負荷模型辨識。
  5. Based on this kind of relations between the topological structures and the content distributions we study the web modelling, community identification and some related application problems in detail : first, after some existed characteristics of the web topology are verified, some new characteristics are discovered : the high clustering property in micro - topology ( high average gathering coefficient ), the obvious mapping relation between the topological struture and the content in micro - level 、 linear irrelevant between the degree distribution of network nodes and the relative degree distribution of contents etc. then after analysis the topology of the complex network and the network modeling, the muti - scale determinism is proposed, especially for the information network a web evolvement model ( prcp model ) that fused the node authority and the node correlation is proposed. the model deduction, evolving learning verification and large scale experiment proof indicate that the model can explain the micro - topology centralizing phenomena, can imitate the mapping relation between the network connecting distribution and network content relative distribution and also can predict the mapping relation between the topology clustering and content clustering

    本文在詳細觀察了web網路的拓撲結構特徵以及拓撲結構與內容分佈相互關系的基礎上，以信息網路的物理連接拓撲結構與節點內容相關度分佈之間的相互關系為主線，從網路特徵、網路建模、社區分析及相關應用方面問題進行了深入細致地探討:首先在驗證了前人提出的web網路拓撲結構特徵基礎上，進一步發現了信息網路所具有的一些新特徵: 1 ）網路微觀顆粒度的拓撲結構聚團與內容聚團存在明顯的映射關系，具體包括節點之間的物理連邊概率與節點之間的內容相關度成指數比例關系、節點形成三角形拓撲結構的概率與節點內容相關緊密程度之間同樣具有一種指數比例關系; 2 ）網路節點連接度整體分佈與節點內容相關度整體分佈是線性無關的; 3 ）網路微觀拓撲結構中的存在很強的集聚性（平均聚團系數很高） 。
  6. The controllability and stability of wavelet networks are analyzed and proved. to reduce the modeling error in the piecewise linearization of nonlinear system, a multiple models wavelet networks identification method is proposed

    針對非線性系統建模中使用分段線性化方法所帶來的未建模誤差問題，提出了多模型小波網路系統辨識方法。
  7. And, the attenuation rate rose out of fog is studied, calculating that and modeling it prediction formula using non - linear system identification method

    計算了霧的衰減率，並用非線性系統辨識方法得到了霧的衰減率的預報模型；計算了霧的反射率隨能見度的變化規律。
  8. Takagi t, sugeno m. fuzzy identification of systems and applications to modeling and control [ j ]. ieee trans. on smc, 1985, 15 ( 1 ) : 116 132

    修智宏，張運傑，任光.輸入採用標準模糊分劃的模糊控制系統性質及穩定性分析[ j ] .模糊系統與數學.已錄用
  9. 3. the modeling method based on mechanism analysis and identification method always exits unmodeled high - order part and the modeling method based on neural networks usually has not good enough generalization capability. we fuse above two kinds of modeling method and put forward a hybrid modeling method based on mechanism analysis, identification and rbf neural networks. this paper proposed a hybr id modeling method based on mechanism analysis, identification and rbf neural networks. first, get a object ' s low - order model by the mechanism analysis and identification method. second, adopt rbf neural networks modeling method to compensate unmodeled high - order model. the sum of the low - order model and high - order model is the hybrid model. this kind of hybrid model has more accuracy than a model based on mechanism analysis and identification and has more generalization capability than a model based on neural networks

    針對基於機理分析和辨識的建模方法總是存在未建模的高階部分，精度不夠高和神經網路建模方法泛化能力差的缺點，將這兩種建模方法進行融合，提出基於機理分析、系統辨識和rbf神經網路的混合建模方法，首先採用機理分析和辨識的方法得到工業對象的低階模型，再用rbf神經網路建模方法補償未建模高階模型，這樣得到的混合模型，比單純基於機理分析和辨識的建模方法具有更高的精度，比單純的神經網路的建模方法具有更好的泛化能力。
  10. Modeling and classification of two - channel elctromyography signals based on blind channel identification theory

    基於盲辨識理論的雙通道肌電信號建模與分類
  11. In modern radar applications, the research about distribution of main scatterers on the target is very important for target modeling and identification

    雷達目標散射中心分佈的研究是雷達目標特性建模與識別工作的一個重要部分。
  12. In order to monitor and diagnose the armored vehicle ' s gearbox online, the modeling and identification of the main transmission system are accomplished by forward householder real ( fhr ) method

    摘要為了實現裝甲車輛齒輪主傳動系統的在線檢測與診斷，在介紹對裝甲車輛齒輪主傳動系統進行故障診斷與預測必要性的基礎上，運用鏡像映射變換（ fhr ）演算法實現了系統的建模與辨識。
  13. Evolutionary strategy based dynamic recursive neural network modeling and identification

    基於進化策略的動態遞歸神經網路建模與辨識
  14. The history and current development of power system load modeling are briefly summaried, including the concepts, models, identifiability and identification methods. this paper focus on load model in the following three aspects with applications : 1. influences of local power plant on load modeling

    本文概述了電力系統負荷建模的發展、現狀，介紹了負荷建模的概念、方法、常見模型及其參數可辨識性問題和辨識方法，著重研究了負荷建模工程應用中的幾個重要問題： 1 、研究了地方發電廠對于區域負荷建模的影響。
  15. This dissertation closely surrounds fuzzy modeling and identification methods for nonlinear systems to discuss and to research

    本文緊緊圍繞著非線性系統模糊建模和辨識方法展開討論和研究。
  16. This dissertation mainly discusses issues on the applications of wavelet analysis in the control of nonlinear systems. the main topics are : ( 1 ) the problem of modeling and identification of nonlinear systems in the high dimensional space using wavelet analysis is studied

    本文對小波分析在非線性系統控制中應用的若干問題作了較深入地研究和探索，主要的研究內容包括： （ 1 ）研究了小波分析在高維空間中對非線性系統建模的問題。
  17. This paper has a further study on the key technology called validity maintenance mechanism in semantic feature modeling in order to maintain the intent of designers and satisfy them. the method combines geometry model and semantic feature modeling, setting up new feature representation 、 cell element naming and identification method. in the meantime, a history - independence interactive feature boundary re - evaluation algorithm is presented based on feature editing. moreover, the validity recovery mechanism after invalid feature operation can maintain the original feature model. the above ideas have been realized on hust - caid ( computer aided industry design system developed by harbin university of science and technology ) preliminarily

    為了能夠正確地維護設計者的設計意圖和滿足用戶的需求，本文在原有造型的基礎上對語義特徵造型中的關鍵技術即有效性維護機制進行深入的研究，將幾何模型，語義特徵模型結合起來統一進行研究，建立了語義特徵造型在產品模型設計過程中特徵表示方法的新理論、細胞元素命名方法和辨別機制，同時對系統原有特徵編輯過程進行了研究，提出了獨立於歷程樹的特徵邊界重構演算法以及模型操作無效時的有效性恢復方法。
  18. Now the subject of modeling and identifying various nonlinear systems has attracted many researchers. however, it is difficult for the classical identification methods based on the linear system or intrinsically linear system theory to provide satisfactory results

    當前，對各種非線性系統的建模、辨識己引起人們的廣泛注意，但是，使用建立在線性或本質線性系統基礎上的傳統辨識方法難以獲得理想結果。
  19. Then similar human intelligent control method is selected to control movement of rolling base. in order to overcome modeling and control difficulty of flexible multibody structure, decentralized modeling method based on structural identification and decentralized predictive control is studied

    根據這個控制策略，分別系統地研究了中心剛體機動的仿人智能控制方法和柔性多體結構的分散預測控制方法，設計了具有組織級、協調級和執行級的組合結構振動主動控制器。
  20. A linear state - space model is modeled for the system identification and prediction at the tangent space of working point. the errors of modeling and

    在局部的切空間上對系統進行線性建模和預測，同時利用在線學習的神經網路補償局部線性模型的建模和預測誤差。
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