stochastic identification 中文意思是什麼
stochastic identification
解釋
隨機識別- stochastic : adj. 1. 機會的；有可能性的;隨便的。2. 【數學】隨機的。
- 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。
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After analyzing the character of risk, i introduce data mining method into risk management, to solve the contradiction between great capacity of data and lack of information, the methods include mathematics statistics and artificial neural network ( ann ). then, i study on the methods of risk management in risk identification, risk evaluation and risk disposal, what is advanced, fault tree analysis method based on fuzzy probability, stochastic simulation method and the topsis method based on interval number all consider the characteristic of risk. finally, i discussed the application of information system ( mis ) in project risk management, and developed a risk management information system
論文在深入分析了風險特徵之後，將數據挖掘技術引入風險管理，用以解決海量數據與貧乏信息之間的矛盾，所採用的技術有數理統計和人工神經網路（ ann ）兩種方法；接著，論文對風險識別、風險評價、風險處理中的風險管理方法進行了研究，所提出的基於模糊概率的故障樹技術、隨機模擬技術和基於區間數的topsis方法都體現了風險管理的特點；最後，論文對信息系統（ mis ）在工程項目風險管理中的應用進行了探討，開發出一個風險管理信息系統。 -
Again, a simple supported beam with stochastic mass density is used as an example. its statistics ( the mean value and the variance ) are calculated and compared with the theoretical values to verify the correctness of the used formulas. eventually this becomes the theoretical basis of the probability damage identification of the bridges
3 .對于簡支梁橋，用該方法進行損傷識別，無論何種情況，識別結果都比較理想:對于有損傷單元，其單元損傷概率達到98 %以上;對于無損傷單元，其單元損傷概率一般都小於10 % ，可以認定，這些單元發生損傷的情況為小概率事件，即不發生損傷。 -
Finally, the nonlinear identification method to stochastic data in frequency domain is used to analyze and identify the nonlinear characteristic of some multifunctional electrical case with honeycomb sandwich structure
最後，將隨機數據的頻域非線性分析與辨識方法應用於某鋁蜂窩夾層結構多功能電子機箱的非線性特性研究中。 -
In the second, in allusion to non - stationary the characteristic of the signal, the author introduces to the method that using empirical mode decomposition to analysis the vibration signal so that the signal are made up of some intrinsic mode function, after this process, we can use stochastic subspace identification to identification the mode parameter of the structure and find the same work frequency
其次，針對氣閥振動信號的非平穩特點，本文採用了經驗模式分解法（ empiricalmodedecomposition ）對振動信號進行分析處理，使之成為若干個基本模式函數imf （ intrinsicmodefunction ）和一個殘余量的線性組合。接著採用隨機子空間參數識別法對各個基本模式函數其進行結構參數識別，同時找出各種狀態的共同工作頻帶。 -
For the next, it studies the theory of auto - cross spectrum density method and stochastic subspace identification method
其次，研究了自互譜法和隨機子空間法的理論。 -
Stochastic subspace identification method is the major in this article, and this method is based on the theory of projection of row space, and also uses qr decomposition, svd decomposition as well as least squares estimate to state space matrices of the discrete system so as to achieve the parameters of the dynamic behavior and it can achieve an accurate result
隨機子空間法是本文的論述重點，它運用了行空間投影的理論，通過qr分解和svd分解以及最小二乘估計來識別離散后的系統狀態空間矩陣，從而得到系統的動力學特性參數，識別精度較高。本文詳細的推導了隨機子空間法的理論公式，並編寫出相應的matlab程序。 -
The algorithm of strapdown inertial navigation system is also discussed and then use the flight - track generator to give a simulation, since a closed loop feedback integrated navigation system is designed in this paper, and the output of the filter must feed back to the strapdown inertial navigation system, the analysis of the algorithm in strapdown inertial navigation system is important. the scheme to design the trajectory of gps and the simulation of gps constellation are then studied, the simulation of gps constellation is given from the calculation of vernal equinox base on the principle of celestial mechanics, this method of different from other methods given by other paper and is useful to the research of satellite navigation system. a new method to abstract noise modal in integrated navigation system is proved to be useful in practice, this method, which is given by use the principles of stochastic processes, statistics, time series analysis, and system identification, is suitable for the kalman filter in integrated navigation system
如航跡產生器的設計，該航跡產生器是研究組合導航問題的前提，從國外一些研究組合導航系統的文獻中可以看出，設計這樣一個航跡產生器是非常必要的，所以本文自行設計了這樣一個系統；還討論了捷聯慣性導航系統中捷聯解算的方法，並進行了模擬研究，由於在本文設計的閉環反饋式組合導航系統中，對捷聯慣導系統的平臺誤差進行閉環控制，需要將濾波器輸出的校正量反饋到捷聯解算內部，所以必須對捷聯解算進行深入的研究和分析，更何況捷聯解算問題本身也是導航界的一個熱門研究課題；另外，本文還介紹了gps軌道及其星座模擬的設計思想和方案，與以往gps軌道和星座模擬不同的是本文從天體力學中計算春分點開始，逐步進行gps軌道及其星座模擬，這樣的設計方法對從事衛星導航的研究工作是有價值的；還對組合導航中誤差建模方法進行了研究，綜合運用隨機過程、概率統計、時序分析及系統辯識等方面的理論提出了一套適合組合導航卡爾曼濾波的誤差建模方法，並運用實際研究工作中的測量數據對該方法進行了驗證。 -
After introducing the unified model structure and applying stochastic approximation principle, the general recursive identification algorithm of several on - line identification methods is developped
在引進統一的模型結構以後，利用隨機逼近原理，提出了各種在線識別演算法的一般遞推形式。 -
Frequency domain multiple input output modal parameters identification with consideration of stochastic noise
計及隨機噪聲的頻域多輸入多輸出模態參數識別 -
18 samaria f, harter a. parameterisation of a stochastic model for human face identification. in proc
改演算法能夠根據訓練圖像自動選擇出適合於人臉識別的若干個矩形特徵。 -
Convergence of hierarchical stochastic gradient identification for transfer function matrix model
遺忘漂移時變系統的辨識 -
There is a focus on application of the stochastic subspace identification method in this article. for its defect in application of engineering, it also studies auto - cross spectrum density method which is classical in engineering, and it can be used as a supplement
針對隨機子空間法在工程應用中耗時長的不足，本文還研究了工程應用中比較經典的自互譜法，該方法可以作為隨機子空間法的補充。 -
Abstract : the most critical task in designing a model based on predictive controller is identifying a reasonably good process model. the identification model of mould level of a continuous casting line in a steel plant is very difficult. due to the extremely high stochastic disturbance level, well - known parametric identification methods using random step function, prbs or stochastic test inputs are not successful. the present method based on orthogonal test inputs gives satisfactory results
文摘:在設計一種基於預測控制器模型時，最關鍵的工作是識別一個合理可靠的過程模型.在鋼鐵廠的連續鑄造線上識別鑄模液位模型是很困難的，由於極高的隨機干擾水平，使得眾所周知的隨機階躍函數， prbs或隨機試驗輸入等參數識別方法都以失敗告終.而本文介紹的基於正交檢測的方法給出了令人滿意的結果
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