辨識理論 的英文怎麼說

中文拼音 [bānzhìlǐlún]
辨識理論 英文
theory of neural networks
  • 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
  • 理 : Ⅰ名詞1 （物質組織的條紋） texture; grain （in wood skin etc ） 2 （道理;事理） reason; logic; tru...
  • 論 : 論名詞（記錄孔子及其門徒的言行的「論語」） the analects of confucius
  • 辨識 : identification辨識符號 identification mark; 辨識技術 identification technique; 辨識器 identifier;...
  • 理論 : theory
  1. One of us ( shapiro ) began this research with the realization that the basic operations of certain biomolecular machines within living cells ? recognition of molecular building blocks, cleavage and ligation of biopolymer molecules, and movement along a polymer ? could all be used, in principle, to construct a universal computer based on turing ' s conceptual machine

    這項研究的開端，是本文作者之一夏比洛意識到，細胞內某些生物分子組件的基本運作方式，像是辨認基本分子建構單元、切開和連接生物聚合分子，以及組件沿著聚合分子移動的方式，理論上都能以塗林的概念為基礎，建構普適的計算器器。
  2. On the basis of theories of discriminational skill, physical model and learning strategy and the requirement to identify and found physical model correctly and use the method of physical model proficiently, this paper discusses the discriminational skill of students theoretically when they learn establish physical model. based on the theory of the method of physical model and the theory of the knowledge about strategy, it illuminates the essentiality of training students the discriminational skill theoretically when they learn establishing physical model and the feasibility of teaching students correlative knowledge about strategy, it bring forwards the actualizing principle. teaching model, steps, several frondose strategies and things we should pay attention to. in teaching experiment, it studies and compares the traditional teaching of establishing physical model with the method in this paper. finally, it summarizes the effects and brings forward correlative teaching advises

    本文在辨別技能、物理模型和策略學習等理論的基礎上，並根據在解決物理問題時正確識別、建立物理模型、熟練使用模型方法是學生應該具備的基本物理素質的要求，對物理建模學習中學生的辨別技能作了理論探討，闡明了在物理建模教學中培養學生辨別技能的重要性和對學生的建模學習中相關的策略性知識的教學的可行性，提出了物理建模教學中培養學生辨別技能的實施原則、教學模型、步驟和幾個具體的策略以及注意事項，然後進行教學實驗，將傳統的建模教學和本文中的建模教學進行對比研究，最後總結了其效果，提出了相應的教學建議。
  3. The result of experiment validated the mathematical models and simulation methods. on the basis of theoretical models and experimental data, the least square technique was used to identify the indeterminable parameters in torque motor and parameters of magnetic fluid

    在理論模型和實驗數據的基礎上，用最小二乘參數辨識的方法對力矩馬達中的不確定參數及磁流體參數進行辨識，從而對添加磁流體的力矩馬達進行了實驗建模。
  4. Using the approximate ability to nonlinear function of neural networks, the adaptive frame of identification and controller are constructed. and the formula of jacobin matrix for unknown systems is given, which is used to train the neural networks controller in closed systems

    總結了bp神經網路的基本理論，把基於非線性數值優化技術的leven - marquardt方法用於bp網路辨識器和控制器的訓練，模擬結果表明該演算法性能遠遠優于標準bp類演算法。
  5. Now with the development of computer control technique applied in it, computer control technique has had a profound influence on pneumatic system structure / control performance / control theory etc. this thesis deeply researches on the task - computer control smart high - speed pneumatic cushioning system. which mainly includes the design of mechanical structure / electronical circuit / pneumatic loop and the researches of system modeling / simulation / control strategy

    計算機控制技術和電-氣比例伺服控制技術的結合，更是對控制系統的性能、系統的結構以及控制理論等多方面都產生了極為深刻的影響。本文對計算機控制智能高速氣動緩沖系統進行了機械、電氣、氣路系統的設計以及系統建模方法、系統辨識研究和控制策略研究。
  6. 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。
  7. 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。
  8. In the models, the iron core nonlinearly of the traction transformer and the magnetic hysteresis effect without the b - h curve are considered. having tested by digital simulation, the winding parameter has not changed in the state of external fault or magnetizing inrush etc. but the winding parameter has obviously changed in state of inter fault or inter - turn fault. ( 3 ) the rules three phases converted to two phases of traction transformer in electric railways are developed in this paper

    （ 3 ）利用牽引變壓器磁鏈平衡方程，建立了基於系統辨識理論的雙繞組單相接線牽引變壓器、阻抗匹配平衡牽引變壓器及scott （斯科特）接線牽引變壓器的「灰箱」模型，該模型考慮了牽引變壓器鐵芯非線性和磁滯效應，但又不直接反映在模型中，並且無需鐵芯的b - h曲線數據。
  9. In view of problems on solving parabolic equation with non - differentiability, parameter identification on the problems is discussed in this paper by non - overlapping domain decomposition method. main theoretic results are as following. 1

    本文針對一類具有極大不可微性的拋物型方程定解問題，採用非重疊型區域分解演算法，應用分佈參數系統的參數辨識與最優控制理論，研究了該問題的參數辨識問題，主要的理論結果如下： 1
  10. The potential applications of amr include both civil and military communication, especially non - cooperative communications and communication confrontation, such as identifying signals, supervising signals, distinguishing interference, electronic confrontation, analyzing military threat, etc. on the basis of our analysis to the existing research on feature abstraction, the related feature abstraction methods are optimized in this paper, resulting several effective methods such as the feature abstraction based on transformation domain, stepped voltage level analysis, normalized carrier - free spectral energy analysis, squared signal and fourth powered signal analysis, etc. both the decision theory based on recognition algorithms and the artificial neural network ( ann ) based on recognition algorithms is analyzed, and the former is selected as it is more appropriate for this research

    調制類型的自動識別廣泛應用於民用通信與軍用通信，尤其是對于非合作性通信、通信對抗，比如：信號確認、信號監控、干擾辨識、電子對抗、軟體無線電、電子救援、通信對抗、軍事威脅分析等。本論文在分析現有研究的基礎上，借鑒了已有的特徵提取方法，對相關調制類型特徵提取方法進行了優化，使用了一些有效的方法，如基於變換域特徵提取方法、梯層電平分析方法、剔除載波后的歸一化頻域能量分析方法、信號平方后的頻譜分析方法、信號四次方后的頻譜分析方法等。通過對基於決策理論和基於人工神經網路兩種識別演算法進行分析，本論文選擇了較適合的基於決策理論的識別演算法。
  11. The first part, with civil action general theory go on and analyze to administration, in hold and analyze theory circle deposit at the different foundations that know now all - snidely, put forward administration with civil action concept, analyze administration jurisprudence foundation and establish terms that supplementary civil action in criminal proceedings establish, point out the characteristic with civil action of administration

    第一部分，對行政附帶民事訴訟的一般理論進行分析，在全面把握和分析理論界現存不同認識的基礎上，提出了行政附帶民事訴訟的概念，並與相關范疇包括行政賠償訴訟、行政裁決訴訟進行辨析，以期進一步說明問題。分析行政附帶民事訴訟成立的法理學基礎和成立條件，指出行政附帶民事訴訟的特點。
  12. The study of fuzzy identification theory and its practical applications

    模糊辨識理論與應用研究發展
  13. Ann based on trend identify and the application in hydrological time series forecast

    基於趨勢辨識理論的神經網路及其在水文時間序列預報中的應用
  14. The theory of fuzzy neural network ( fnn ) modeling for nonlinear systems is presented

    摘要論述了模糊系統和神經網路相結合的非線性系統辨識理論。
  15. 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
  16. The proposed methods can be used as data preparation techniques to detect bad data and fill the blank with a more accuracy value in an initial series. the modeling accuracy of grey system is greatly improved by such methods

    2 、針對序列中含有空穴或不良數據的情況，將參數估計與不良數據辨識理論作為數據預處理技術應用於灰色系統建模，使得模型預測結果更為精確。
  17. The theoretical background of the test signal method is the theory of mechanical admittance and mode identification, which is based on the frequency scanning of the test signal and has already been used widely in mechanical engineering

    提出了一種基於測試信號的小擾動穩定性分析方法?測試信號法，用於分析電力系統低頻振蕩問題。其理論基礎是機械導納理論和模態辨識理論。
  18. However, with the development of society and science, nonlinear system is more and more important. the conflict between control and model is getting more and more evident. this fact results in the development of nonlinear system identification theory

    但隨著社會、科學的發展，非線性系統越來越受到人們的關注，其控制與模型之間的矛盾越來越明顯，因而非線性系統的辨識問題也越來越受到重視，其辨識理論不斷發展和完善。
  19. Based on the theory of system identification and experimental data, the simulating results of many kinds of parameter models have been compared. among them, we can find a parameter model that can precisely express the dynamic character of measurement system. on the system model constructed, the dynamic error of measuring data is processed by inverse filtering method

    本文先後對測試系統進行了多次動態校準，根據所得實驗數據在系統辨識理論的基礎上，比較了多種參數模型的模擬效果，尋找到一類能夠準確地描述測試系統動態特性的參數化模型，並根據所建立的系統模型，採用反濾波方法改進了測試系統的動態特性。
  20. There are lots of non - linear systems in the nature. because classical and morden control methods have common limitation : mathematical model of the plant has to be known in advance. but in fact many plants are intricate uncentaintied and time - varying. in addition, they also are non - linear. though there are methods of system identification in control theories, the identification theories and ways of non - linear and time - varying system are not mature and systematic. it is very difficult to carry out effective real - time control. the neural networks can approximate random non - linear relations and study by itself, and it provides new thoughts and new ways for solving these problems

    由於經典和現代控制方法存在一個共同的局限性：就是要求預先知道被控對象的數學模型，但實際上許多對象具有復雜的不確定性和時變性；此外還具有復雜的非線性。雖然在控制理論中有系統辨識的手段，但是對于非線性時變系統尚無成熟的和系統的辨識理論與方法，要實行有效的實時控制就很難了。人工神經元網路有表示任意非線性關系和自學習等能力，給解決這些問題提供了新思想和新方法。
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