maximal entropy 中文意思是什麼
maximal entropy
解釋
最大熵-
This program can work out some changes made by the operation of wet compression, such as the maximal mass of water spray, the temperature in the outlet of supercharger, and the consumed energy by the supercharger. in addition, this thesis gives the definition of efficiency of wet compression when the entropy of compressed air keeps constant, and it can be the standard for the study of wet compression
本文首先對增壓柴油機濕壓縮研究的主要部分? ?壓氣機，建立濕壓縮的數學模型，從理論上分析濕壓縮的最大噴水量，壓氣機出口溫度，壓氣機耗功等變化情況，並給出了等熵濕壓縮的定義，為濕壓縮研究建立了比較標準。 -
The principle of possible maximal entropy
最大可能熵原理 -
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。 -
( 4 ) the basic principle of maximal entropy is used to a cosmic gravitational system and we find that the observed result of two - point and three - point galaxy correlation functions in the universe is agree with an equilibrium assumption of mass distribution. a generalized statistical mechanics is also utilized to improve our result
（ 4 ）利用最大熵的統計物理原理證明宇宙中星系的兩點和三點相關函數與質量分佈的平衡假設是一致的；同時，利用廣義統計力學進一步改進了我們的結論。 -
An information entropy - based uncertainty measure is presented first based on generalized rough set model in this paper, which is suitable for evaluating rules retrieved from noisy data. second, this paper puts forward generalized minimal - and - maximal - rules - learning methods and generalized maximal - minimal - rules - conversion model because we can encounter noisy problems in most real - life problems. third, this paper puts forward a new discretization method for the continuous attributes, which is based on the clustering and rough sets theory
本文在對粗集及其相關理論的研究基礎上，首先給出了一種基於推廣粗集模型和信息熵的規則不確定性量度，該不確定性量度適于評價從有噪音數據中提取的規則；鑒于實際應用中經常能遇到噪音的問題，本文提出廣義極小極大規則學習方法，同時還提出了廣義極大極小規則轉換模型gmm ；最後，本文基於聚類方法、結合粗集理論提出了一種新的連續屬性離散化方法。 -
Solving multi - objective programming problems with maximal entropy method and genetic algorithm
遺傳演算法與極大熵相結合解多目標規劃問題
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