辨識信息 的英文怎麼說

中文拼音 [bānzhìxìnxī]
辨識信息 英文
identifying information
  • 辨 : Ⅰ動詞（辨別; 分辨; 明察） distinguish; discriminate; differentiate; recognize Ⅱ名詞（姓氏） a surname
  • 識 : 識Ⅰ動詞[書面語] （記） remember; commit to memory Ⅱ名詞1. [書面語] （記號） mark; sign 2. （姓氏） a surname
  • 息 : Ⅰ名詞1 （呼吸時進出的氣） breath 2 （消息） news 3 （利錢; 利息） interest 4 [書面語] （子女） on...
  • 辨識 : identification辨識符號 identification mark; 辨識技術 identification technique; 辨識器 identifier;...
  1. 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。
  2. In general, there are tow nns in the system of nns - imc. one is neuro - controller, and another is neuro - emulator. the neuro - emulator emulates the model of the plant online, and gives the jacobin of the plant to neuro - controller

    它一般包括神經網路控制器和神經網路觀測器，神經網路觀測器在線辨識被控對象的模型，以此作為系統的內部模型，並且向神經網路控制器提供被控對象的梯度信息。
  3. Compared with the low range resolution ( lrr ), high range resolution ( hrr ) radar can supply more structure information of targets. it is one of the most important development directions in modern radar. hrr radar has much extensive application prospects in targets detection, targets imaging, targets identification and so on

    高距離分辨雷達較低分辨雷達能提供更多的目標結構信息，是現代軍用雷達裝備的重要發展方向之一，在目標檢測、目標成像和目標識別等方面有極其廣闊的應用前景。
  4. With the rough sets theory, people can process the undistinguished problem using uncompleted information or knowledge. and also enhance the capability to classify the imprecise data coming from observation or measurement

    粗糙集理論反映了人們以不完全信息或知識去處理一些不可分辨現象的能力，或依據觀察、度量得到某些不精確的結果而進行數據分類的能力。
  5. Based on the analysis and processing of the digital speckle pattern, the translation and rotation invariant features are discovered, and a one - step feed - forward neural network is creatively proposed which makes it possible to realize the intelligent recognition of interface defects

    通過對數學散斑條紋的分析與處理，找出了能代表條紋信息的移位不變與旋轉不變特徵值? ?最大斜率，進而構造一種新的網路模型，即單步前饋式三層網路系統.率先實現了把神經網路系統用在數字散斑無損檢測之中，完成了神經網路系統對粘接界面缺陷的智能辨識
  6. The result showed that the hurst exponent of the signal have obvious differences between different flow regime. it increased when flow regime was changed from fixed bed to bubbling bed and more from bubbling bed to turbulent, based on which a new method for identification of flow regime was proposed. to improve the accuracies of identification fuzzy technology was introduced

    為了提高辨識準確率，引入了模糊信息處理技術，提出了流型模糊辨識中隸屬度函數的確定辦法，建立了氣固流化床從固定床、鼓泡床到湍動床的流型判別準則，實驗驗證了該方法有良好的辨識效果，辨識準確率在80以上。
  7. This paper has put forward a new method of recognizing two - phase flow type based on multi - sensor information fusion

    本論文提出了一種基於多傳感器信息融合辨識兩相流流型的新方法。
  8. Traffic security always is the one of problems that people concerned, it directly relate with losing of people ’ s life and property. the developing history of automobile also is the elevating history of automobile security performance at the same time

    基於視覺的高速汽車車道偏離預警系統通過攝像頭獲得前方道路的信息，實時辨別車道標線和道路標識，一旦判定汽車偏離車道，就會向駕駛員發出警報，幫助駕駛者保持注意力集中，以提高行車安全。
  9. Firstly two characteristic points of the open - loop frequency are identified based on relay feedback experiments : the ultimate point and the bandwidth point

    通過繼電反饋辨識系統開環帶寬度點和臨界點，利用帶寬點的信息建立一階加純延遲模型。
  10. Although both preparing and auditing financial statements need to apply the concepts of materiality, the purposes of implementing the principle of materiality in financial accounting system differs from the purposes of applying the concepts of materiality in auditing procedures. because, the former distinguishes immaterial items in accounting data for reducing the producing cost of information as well as enhancing the understandability of financial statements, but the latter put much more attention on scrutinizing information for significant items in order to control audit risks and conduct an efficient and effective audit engagement

    財務會計中財務報表的編制，以及審計中財務報表的查核，都需要運用重要性概念；但財務會計中重要性原則的運用，主要是用於過濾篩選不重要的會計數據，以節約信息生產成本，並增強報表的可理解性；而審計中重要性原則的運用，則是為了辨識重大會計信息，以控制審計風險，並有效率且有效果地完成審計任務。
  11. To conquer the problem of acquisition high effectiveness in analog circuit fault imformation, wavelet transform was researched in this paper to preprocess the fault signals. meanwhile, bp neural network diagnosis method based on wavelet transformation was proposed, this method can abstract fault feature effectively and decreases the dimension of imput vector. by this mean, the construct of neural network can be simplified and training time was economized, then the recognize ability of fault type was improved also

    為解決模擬電路的故障信息高效獲取難題，本文採用小波變換作為故障信號的預處理器，研究了基於小波變換預處理的bp網路故障診斷方法，該法能在有效提取故障特徵的同時，降低輸入信息的維數，從而進一步簡化了神經網路的結構，減少了其訓練時間，提高了辨識故障類別的能力。
  12. Firstly, a new joint filterbank precoders and decision feedback equalizers structure is proposed, and the corresponding optimization result based on the maximal mutual information criterion is derived. secondly, the concept of dt canonical model is proposed, which is very suitable for the task of blind signal processing based on the second - order statistical of the observations. thirdly, the methods of blind equalization and identification of the tv dispersive channels are researched systematically based on the proposed dt canonical model, and a subspace blind identification algorithm of the time - invariant channel matrix is developed

    本文創新性的成果在於：提出了預編碼-判決反饋聯合均衡系統結構，並從理論推導得出了對應的最大互信息量最優化設計結果；首次提出了時變色散通道的離散正則模型概念，該模型適宜於利用觀察數據的二階統計量進行盲信號處理；基於離散正則模型對時變色散通道進行了系統的盲均衡和盲辨識方法研究，提出了對時不變通道矩陣的子空間盲辨識演算法；針對誤差傳播效應問題，提出了可以消除誤差傳播效應的兩級盲辨識演算法；提出了基於離散正則模型的直接盲均衡演算法；提出了基於特徵恢復思想的神經網路直接自適應盲均衡演算法。
  13. Not seem as the traditional research route this paper in terms of maxism and the evolutionism theory to study the absorptive capability attribute and impress along with the knowledge innovation, to study knowledge innovation chain structure and contain among the different course compare with the lack and narrow sense and broad sense state of absorptive capability, accompany with market and state innovation system working. it reaches conclusion as follow : 1. the absorptive capability is substantial which make up of core competence and take a important role for enterprises to capture overflow knowledge of competitor and common knowledge in society, to deepen inner r & d activity, to build up the utility of organization and information intercourse

    本文以馬克思主義唯物史觀和辨證分析理論為指導，運用企業能力進化論和企業發展演進的分析方法，圍繞隨著企業知識創新在各個階段的不斷深化所帶來企業吸納能力的形成與增進，探討了吸納能力范疇及其在不同創新過程中的特徵；提出了企業知識創新鏈結構，分析了吸納能力缺失、狹義吸納能力和廣義吸納能力增進的不同內涵；知識創新市場機制和國家創新體系對企業吸納能力增進的環境效應等，得出以下結論： 1 、吸納能力對于企業有效地獲取外界公共知識和競爭對手溢出知識、深化r & d活動、增強組織結構的有效性和信息交流的充分性等具有十分重要的意義。
  14. A method based on gene expression programming ( gep ) for identifying the nonlinear system model is presented, which makes up the insufficiency that traditional identification methods need much a priori information, and has a tidier and more efficient system model expression mode than genetic programming ( gp )

    摘要給出了利用基因表達編程（ gep ）進行非線性系統辨識的方法，彌補了傳統辨識方法需要過多預知信息的不足，有著比遺傳編程（ gp ）更簡潔有效的系統模型結構表達方式。
  15. When we apply fuzzy control to a unknow process, we can " t find good control rule because of we don " t know it " s characteristics. this paper based on an analytic structure of fuzzy controller put forward a method, which combines fuzzy controller and neural network. use neural network to make identification of system and provide necessary message for ls. regard control object as an output part of network. based on message provided by neural network adopt bp algorithm to modify experience rule. thus, improve dynamic process of fuzzy control system. simulation results indicate ： this controller has better adaptability for variety of model parameters and can modify original system control rule, makes a output follow system input tracks faster

    在對不熟悉的過程進行模糊控制時，由於對過程的不了解，很難得到合適的控制規則.基於模糊控制器的一種解析結構，提出了將模糊控制器與神經網路相結合的方法.由神經網路對系統進行辨識，並為學習系統提供必要的信息，將控制對象視為神經網路的輸出部分，採用bp演算法根據神經網路提供的信息對經驗規則進行修改，從而改善模糊控制系統動態響應.模擬結果表明該控制器對模型參數變化具有較好的適應能力，能夠較快地修改系統的原控制規則，使對象輸出較快地跟蹤系統的輸入
  16. The good readable and high contrast display offers room for extra information besides the digital value, bargraph and tendency display

    它的顯示屏辨識性好對比度高，能顯示數值柱狀圖和趨勢圖，它還為其他信息的顯示提供了空間。
  17. The simple affine transformation is used to describe the motion of feature points, and an pdaf is employed to obtain the estimate of the state vector ; a matching method based on gabor wavelet transformation is employed to find the corresponding point ; an ekf is employed to process the temporal information ; a scheme is designed to include new feature points

    點的軌跡模型採用仿射變換描述，引入pdaf演算法進行狀態估計；利用基於gabor變換特徵向量的匹配演算法進行對應點的辨識；推導出ekf濾波器方程組，對時態信息進行濾波；具有新特徵點的選取、跟蹤能力。
  18. Abstract : in this paper a new adaptive neural network controller is presented for a class of continuous - time nonlinear time delay systems subject to modeling uncertainty. the neural network model requires a priori knowledge about plant dynamics to provide prediction models for time delay systems. an adaptive controller based on neural networks was developed to produce the desired tracking performance in uncertain conditions. stability of the closed - loop system is proved by the lyapunov method. the effectiveness of the proposed scheme was demonstrated through its application to the control of a continuous stirred tank reactor

    文摘:針對模型不確定性的連續時間時滯系統，提出了一種新的神經網路自適應控制.系統的辨識模型是由神經網路和系統的已知信息組合構成，在此基礎上，建立時滯系統的預測模型.基於神經網路預測模型的自適應控制器能夠實現期望軌線的跟蹤，理論上證明了閉環系統的穩定性.連續攪拌釜式反應器模擬結果表明了該控制方案的有效性
  19. In the study of environment model - based processing, the thesis presents a signal enhancement method based on combination of the ocean acoustic propagation, measurement system and noise models. furthermore, a signal enhancement algorithm is developed on the basis of the model - based identifer ( mbid ) implemented by the the augmented gauss - markov process and corrsponding extended kalman filter

    本文通過了對模基信號處理實現信號增強的理論研究，提出了一種利用傳播模型、噪聲模型和陣測量模型、並注重環境信息來實現水聲信號增強的方法，繼而實現了基於增廣高斯?馬爾可夫過程和相應的擴展卡爾曼濾波聯合的模基辨識器的信號增強演算法。
  20. This education helps people to become better informed about the media, more sensitive in distinguishing all kinds of information, and more conscious of self - construction and self - perfection through the media

    這項教育可以幫助受眾增加對媒介的?解，學會以批判的意識接觸和辨別媒介信息，懂得合理運用媒介完善自我、發展自我。
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