leibler 中文意思是什麼
leibler
解釋
萊布勒-
From the unique viewpoint of shannon information theory, this dissertation investigates the varying and transmission of information and uncertainty in control systems using measures of entropy, mutual information, kullback - leibler information and information rates, in time and frequency domains, respectively. several problems concerning state estimation, modeling, h control, performance limits and design constraints of control systems are addressed under this framework
論文以有別于傳統控制理論的獨特視角? ?信息的觀點研究控制系統，採用shannon信息論中的熵、互信息、 kullback - leibler信息及相應的信息率分別考察了控制系統在時域和頻域中信息和不確定性的傳輸和變化，討論了狀態估計、模型化、 h _控制及控制系統性能極限和設計約束等領域的相關問題。 -
The properties of reduced - order models, the order selection and the characteristics of system noises are also discussed. frequency domain 3 ) the transmissions of information and uncertainty in several kinds of control systems are studied by investigating the relations between entropy rate, mutual information rate, kullback - leibler information rate and h entropy
頻域： 3 ）分析了幾類系統中的信息和不確定性傳輸，考察了系統中有關變量的熵率、互信息率和kullback - leibler信息率之間的關系，以及信息率與系統h _熵的關系。 -
2 ) by analyzing the information and conditional information description mechanism of system states, the problem of stochastic model reduction is investigated based on state aggregation. the information loss and conditional information loss between the full - and reduced - order models are measured by entropy, while the independence and conditional independence within me components of aggregated state are measured by kullback - leibler information distance. several model reduction methods for stable and unstable linear systems are derived by employing two criteria to get aggregation matrices : the minimal information loss and the maximal independence
2 ）分析了隨機系統狀態空間模型中的信息和條件信息描述機制，以shannon熵為手段描述線性系統模型降階過程中的信息和條件信息損失，以kullback - leibler信息作為衡量降階模型狀態向量各分量之間統計獨立性的測度，針對穩定和不穩定系統研究基於狀態集聚的模型降階問題：分別運用最小信息損失準則和最大獨立性原則，得出幾種狀態集聚的信息論方法，並討論降階模型的性質、階次的確定、系統噪聲分佈特性等問題。 -
Enlightened by the idea of aic, this paper treats the data of the same group as samples of certain distribution. in this way, it determines the number of groups by seeking the asymptotically unbiased estimate of kullback - leibler information
在aic準則思想的啟發下，將應該同屬於一個分類的數據看作是在某一分佈中抽取的樣本，從而通過求kullback - leibler信息量的漸近無偏估計而達到確定類數與數據分類的目的。
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