entropy parameter 中文意思是什麼
entropy parameter
解釋
熵參數-
The result shows that all these system are simple eutectic, at the same time, the entropy of phase change of every system in the eutectic point is determined by using differential scanning calorimetry ( dsc ) on the basis of experimental research, through the improved one - parameter margules equation by introducing a new variable temperature, the improved equation was designed to compute solid - liquid equilibrium
測定結果表明，這幾組體系均為簡單低共熔體系；同時利用差熱掃描量熱法（ dsc ）對上面各組體系低共熔點處的相變焓進行了測定。在實驗研究的基礎上，通過改進單參數margules方程並引入新的變量溫度，達到了將此方程用於固液平衡計算的目的。 -
Thirdly, a novel parameter - varying adaptive algorithm for rtt and rto estimations based on the information theory and the maximum entropy principle ( mep ) is presented. it is used in the implementation of trinomial protocol to detect packet losses and to adjust the sending rate
再次，給出了一種新的基於信息理論和最大熵原理（ mep ）的變參數自適應rtt和rto估計演算法，在三項式協議實現過程中用於探測丟包及速率調整。 -
The influences of the velocity of atomic motion, the field structure and the parameter of squeezing field on the information entropy squeezing properties of the atom are investigated as the initial atom is in any state
討論了運動原子初態處于任意態時，原子運動速度、場模結構和場壓縮參量對原子信息熵壓縮的影響。 -
Parameter estimation of exponential distribution under q - symmetric entropy loss function
對稱熵損失函數下指數分佈的參數估計 -
Estimation of scale parameter of normal distribution under q - symmetric entropy loss function
對稱熵損失函數下正態總體刻度參數的估計 -
As far as the system observation for accuracy evaluation of carrier rocket is concerned, there may exist different types of observed data and priors. heterogeneous information means that the different information describing the different characteristics of the same object. since all of the information is relevant to the same object, the fusion is possible. it is a key problem that how to fuse the heterogeneous information to obtain the better evaluation result. therefore, the different heterogeneous information and data is thoroughly studied, moreover, the mathematical description for information fusion of different parameter priors and data is constructed in this paper. based on their relationship between different parameters, indirect prior and observation data is transformed into prior in impact point observation space, which is fused with original prior by weight determined by maximum entropy rule to obtain the mixed posterior distribution. therefore, the test results can be given by combining posterior distribution and impact error observed data. then its application on evaluating guidance systematic error is elaborated as it applies trajectory tracking data, test value of coefficients of guidance instrumentation systematic error, impact point observation data and prior. especially, the advantage of this method lies in its application in case that guidance instrumentation systematic error may not be computed precisely. finally a detailed example on evaluation of carrier rocket is given to verify the theory
為充分利用運載火箭觀測中的不同觀測空間和過程的信息來進行精度評估，針對該背景建立了異質先驗融合的數學描述.研究了飛行試驗中不同觀測空間和過程的異質先驗信息和數據，基於不同觀測過程的解析關系，將間接過程的先驗和觀測數據算出的后驗分佈轉換成落點觀測空間上的先驗，與原落點的先驗進行了最大熵加權融合，得到混合后驗分佈，從而結合落點觀測數據給出評定結果.在無法解算出精確的制導工具誤差系數的情況下，這種方法充分利用了彈道跟蹤數據、工具誤差系數的地面測試先驗值、落點先驗及落點數據，穩健性更好，準確性更高 -
Considering the fuzziness of some boundary conditions enviroment media, and especially some loads in the engineering structure analysis, we go further into the computation based on the dynamic problem of fuzzy finite element ( ffe ), study further and systematically the analysis and solution. the principle of fuzzy minimum potential energy is established, and the balance equation of fuzzy finite element is reasoned by making fuzzy variation. at the same time, the dynamic balance equation of stochastic by making stochastic variation ， also the fuzzy stochastic dynamic balance equation is deduced. based the theory that the degree of the fuzziness and probability can be measured, in the other word, by using the concept of fuzzy entropy and entropy, pure fuzzy dynamic structure is given through transforming the probability to fuzziness. for the fuzzy parameter can be regarded as a fuzzy vector with dimensions, the structure ' s eigenvalue, by the theory of small parameter
建立了模糊瞬時最小勢能原理，運用模糊變分原理導出了模糊有限元動力平衡方程；同時，利用隨機變分原理導出了動力問題的隨機有限元方程，同時得到了模糊隨機動力問題的有限元平衡方程。根據模糊度和概率度可以度量的原理，即利用模糊熵和概率熵的概念，把結構的隨機性等效地轉化為結構的模糊性，得到純粹模糊性的動力結構。把結構所具有的模糊參數看作一個維的模糊向量，利用小參數攝動原理，把結構的特徵值，特徵向量和位移都在模糊向量的均值處進行泰勒展開，得到一組遞歸方程，即可以求得結構的模糊特徵值，特徵向量和模糊位移。 -
The change of magnetic entropy ( asm ) is the main parameter evaluating the quality of magnetic refrigerant materials and it can not be gotten by direct way now
衡量磁致冷材料性能好壞的主要參量是磁熵變sm ，目前無法通過直接測量得到磁熵變。 -
Using the relation between spectrum width and entropy and the different contributions devoted by each angle motion parameter to the echo spectrum width of the difference beam, the global optimal estimation is obtained through searching the angle motion parameters of zero and higher order via max - entropy and min - entropy respectively
該方法利用了各階運動參數對差波束回波譜寬度的不同貢獻以及熵與譜寬度的關系，通過最大熵和最小熵分別對0階和1階以上角運動參數進行搜索，得到全局最優估計。 -
Premature convergence is still the prominent problem in genetic algorithms. some excellent individuals or genes are lost due to premature convergence, which causes local optimum. a parameter adaptive genetic algorithm based on the entropy estimating is advanced in this paper
自適應遺傳演算法的控制參數可以根據個體的適應度大小進行自適應調整，體現了生物進化中「優勝劣汰」的思想，使其收斂速度較基本遺傳演算法有了很大提高。 -
The parameter can be adjusted adaptively by incorporating population entropy into the algorithm to provide a quantitative measure of population diversity of individuals in the population and new individuals can be introduced into the population by a big - mutation operation when the individuals in the population tend to be consistent. the case study shows that the algorithm can alleviate the problem of premature convergence as well as improve the efficiency and scope of searching
本研究將信息嫡引入遺傳演算法以度量種群的多樣性;當判斷其發生過早收斂時，則通過「大變異」操作來引入新個體，從而有效緩解了成熟前收斂的發生，提高了演算法搜索的范圍與效率。 -
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。 -
Entropy is applied to find the proper wavelet scale parameter, with which the analysis results are more precise than with other parameters
本文首次把「信息熵」引如電壓暫降的檢測工作中，用於尋找最優的小波尺度，使檢測結果更加準確。 -
By analyzing expression between a and fuzzy entropy from the view of analytics, this paper analyses the relationship of between a and fuzzy entropy and the changing trend of fuzzy entropy function with the increase of a, then discusses the sensitivity of the parameter a to classification result such as total nodes, rule number, classification accuracy of fuzzy decision tree, proposes an experimental method of obtaining optimal a, it is proved by experiment that the optimal value a obtained by this method can make the classification result of fuzzy decision tree best, and therefore provides the academic evidence of selecting parameter a in order to gain the best classification result
本文在visualc + +軟體開發平臺及模糊id3演算法的基礎上，從解析的角度出發，通過分析參數與模糊熵之間的函數關系式，討論了隨著的增加，模糊熵函數的變化趨勢，進一步分析了參數對模糊決策樹的分類結果在訓練準確率、測試準確率、規則數等方面所表現出的敏感性，探討了得到最優參數的實驗方法。實驗證明，利用這一方法得到的最優參數的值，可以使模糊決策樹的分類結果達到最好的效果，從而為人們用模糊決策樹進行分類時選取參數以獲得最優的分類結果，提供了良好的理論依據。
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