approximate entropy 中文意思是什麼

approximate entropy 解釋
近似熵
  • approximate : vt 1 使接近。2 接近；走近。3 近似，約計。4 模擬。5 估計。vi 近於。 His income this year approxima...
  • entropy : n. 1. 【物理學】熵。2. 【無線電】平均信息量。
  1. Information entropy and approximate entropy of sleep eeg

    睡眠腦電的信息熵和近似熵
  2. In this paper, we studied the deterministic mechanism of isi with the unstable period orbit ( upo ) ; we tested many isi data from different model with the method of approximate entropy ( apen ) to study the method which is used in testing the degree of complicacy of isi and we built up a system including hardware and software for our lab to view and record action potential, firing frequency and isi in real time. results 1. spontaneous firing patterns were observed from neurons of supraoptic nucleus ( son ) in hypothalamus with the method of patch clamp

    本研究通過對大鼠視上核神經元自發放電的非穩定周期軌道的計算，討論了isi的確定性問題；利用近似熵的方法對多種神經放電的isi資料進行了復雜度的測量，討論了這種方法在isi的復雜度測量第四軍醫大學碩士論文中的應用；另外，還開發出一套記錄原始放電和isi的程序，解決了採集isi的問題。
  3. In the fields of fluid dynamics, entropy inequality reflects the second law of thermodynamics. i. e. entropy must increase across shock waves ( a kind of discontinuity ). all kind of approximate schemes should reflect the fact that it must satisfies some kind of discrete entropy inequality ). from the view of practical computation, stability and theo - retical error of any kind discrete schemes all dependend of the smoothness of the solution of ( 0. 2. 1 ). generally, the approximate solution have good stability and theoretial error in the area where the solutions have more regularity and poor stability and theoretial error in other area

    從流體力學來看，它事實上是熱力學第二定理的反映，即熵越過激波（一種間斷）要增加。各種估計格式構造的估計解應反映這一事實，即滿足熵不等式。從實際計算來看，總是通過離散化求解，不考慮計算的積累誤差，它的穩定性與計算精度都依賴與真解的光滑性，一般說，在解較光滑的區域有較好的穩定性與計算精度，而在較粗糙的區域則相反。
  4. Effects of noise to the approximate entropy of the chaotic system

    噪聲對混沌系統近似熵的影響
  5. Fast algorithm of dynamic approximate entropy and its application in heart rate variance analysis

    動態近似熵快速演算法在心率變異研究中的應用
  6. Based on the introduction of approximate entropy and human activity effect e, runoff series complexity of the yellow river was analyzed

    摘要在引入近似熵並給出人類活動影響程度e的基礎上，對黃河徑流序列的復雜性進行了分析。
  7. In this article, the prime task is the reasarch of extraction airplane ’ s periodic signature of modulation, the approximate entropy, the norm entropy, obtaining the sensor confidence level as well as structuring realization target identification intellectualized type fusion model and the algorithm

    本文主要工作是研究提取飛機目標的調制周期特徵，近似熵、范數熵，獲取傳感器可信度以及構造實現目標識別的智能化類型融合模型和演算法。
  8. Based on a large amount of experimental data, nonlinear analysis, such as complexity theory, and approximate entropy ( apen ) which is adopted systematically in the fluidization research the first time, are implemented in the time series analysis of pressure fluctuation and particle concentration in gas - solid fluidized beds, and the nonlinear characteristics of fluidized beds are discussed comprehensively

    本文在大量實驗數據基礎上，將非線性方法，包括復雜性理論，以及首次被系統引入流態化研究的近似熵，應用到氣固流化床壓力及顆粒濃度脈動時間序列分析中，較為系統地探討了流化床的非線性特徵。
  9. We reconstructed the phase space and calculated the nonlinear parameters such as correlation dimension, the largest lyapunov exponent, approximate entropy, and l - z complexity of the data. it can be conclud from the results that the reconstruction of heart beat rate signal is strange, its correlation dimension is between 5 to 7 and have the character of fractal dimension, its largest lyapunov exponent is larger than zero, its approximate entropy and l - z complexity are obviously differ from noise. we can draw a conclusion from all above : the heart beat rate signal is n ' t simple noise, it is high dimensional chaos obeys certain dynamical law

    我們還對信號進行了相空間重構，計算了信號的關聯維數、最大lyapunov指數、近似熵和復雜度這幾個非線性特徵量，我們發現，心率信號的吸引子是奇怪吸引子，關聯維數介於5到7之間，具有分維的特徵，其最大lyapunov指數大於0 ，其近似熵值和復雜度值明顯區別于噪聲，這說明心率信號不是隨機噪聲，它是服從確定性動力學規律的高維混沌信號。
  10. At first, construct ten sets of surrogate data for each emg data, then calculate the correlation dimension ( dcorr ), correlation time, maximum lyapunov exponent ( a, ), l - z complexity and approximate entropy ( apen ) of both the original emg data and surrogate data, and then compare them

    構造這四例肌電信號的代替數據（各十組） ，分別計算原數據及其代替數據的關聯維、關聯時間、最大李雅普諾夫指數、 l - z復雜度和近似熵，我們發現，四例原數據的以上所有特徵量都與各自所對應的十組代替數據存在明顯差別。
  11. When adding an entropy function as regularizing term to the lagrangian function, we obtain a smooth approximate function for m ( x ), which turns out to be the exponential penalty function

    當將熵函數作為正則項加到拉格朗日函數上，我們得到了逐點逼近於m （ x ）的光滑函數。經證明，該函數即為指數罰函數。
  12. This paper studies the helicopter, the propeller - driven aircraft and the turbofan jet airplane echo modulating feature parameter model and analyses the echo signal feature. it gains the target echo ’ s the cyclical modulation feature by using the complex ar frequency range bispectrum slice. because traditional method in extraction airborne radar ’ s radiant signal feature time has certain insufficiency, this paper proposes the approximate entropy and the norm entropy as the passive feature parameter in the airplane

    由於傳統方法等在提取機載雷達輻射源信號特徵的時候存在著一定的不足，本文提出把近似熵和范數熵作為飛機目標識別的無源特徵參數，給出了提取相應特徵熵的演算法，實現對機載雷達輻射源信號的識別，通過和機載雷達類型的匹配，實現對目標的識別。
  13. Noisy speech endpoint detection based on approximate entropy

    所以提出了一種基於線譜對系數
  14. The pheromone - based parameterized probabilistic model for the aco algorithm is presented as the solution construction graph that the combinatorial optimization problem can be mapped on. based on the solution construction graph, the unified framework of the aco algorithm is presented. an iterative update procedure of the solutions distribution in the problem ' s probabilistic model is proposed, that will converge to the optimal solutions with probability one, then the minimum cross - entropy pheromone update rule is proposed to approximate the iterative update procedure by minimizing the cross - entropy distance and monte - carlo sampling

    基於解空間參數化概率分佈模型，首先提出了一個以概率1收斂于最優解的解空間概率分佈的迭代更新過程，然後提出了通過最小化不同分佈間的交互熵距離以及蒙特卡洛采樣來逼近此迭代過程的最小交互熵信息素更新規則，接著分別給出了弧模式以及結點模式信息素分佈模型下的最小交互熵等式。
  15. This algorithm uses approximate entropy index ' s projection pursuit based on real coding genetic optimize algorithm ( rcgoa - pp ) to project the targets information hided in the high - dimensional data into low - dimensional space and then extract small targets with histogram image segmentation method

    該演算法用基於近似相對熵的實碼遺傳優化投影尋蹤方法（ rcgoa - pp ） ，有效地將高維數據中隱藏的目標信息集中投影到低維空間中，並用直方圖分割的方法提取出小目標。
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