最小熵原理 的英文怎麼說
中文拼音 [zuìxiǎoshāngyuánlǐ]
最小熵原理
英文
minimum entropy principle- 最 : 副詞(表示某種屬性超過所有同類的人或事物) most; best; worst; first; very; least; above all; -est
- 小 : Ⅰ形容詞1 (體積、面積、數量、強度等不大) small; little; petty; minor 2 (年紀小的; 年幼的) youn...
- 熵 : 名詞[物理學] entropy; thermal charge
- 原 : Ⅰ形容詞1 (最初的; 原來的) primary; original; former 2 (沒有加工的) unprocessed; raw Ⅱ動詞(原...
- 理 : Ⅰ名詞1 (物質組織的條紋) texture; grain (in wood skin etc ) 2 (道理;事理) reason; logic; tru...
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The dynamic adjustment of an alluvial river has a tendency that the entropy production or the rate of energy dissipation of flow is minimum rather than the entropy is maximum when a river is in a relative equilibrium condition
當河流處于相對平衡狀態時,水流的熵產生或能耗率為最小值。最小熵產生原理或最小能耗率原理保證了河流在相對平衡狀態的穩定性。The two basic theories of non - equilibrium thermodynamics, the minimum entropy production and the dissipative structure, are introduced. it will be shown that, by using the relationship between the entropy production and the rate of energy dissipation, the minimum entropy production is equivalent to the minimum rate of energy dissipation
本文首先介紹了非平衡態熱力學的兩個基本理論?最小熵產生原理和耗散結構理論,並根據熵產生與能耗率關系,得出最小熵產生原理與最小能耗率原理二者等價的推論。Principle of minimum dissipation of entropy
最小耗熵原理Minimum entropy principle
最小熵原理The algorithm makes use of maximum entropy of information theory and gets optimal solution by a small - scale
該演算法利用了信息論中極大熵原理,使演算法以較小的規模得到較好的最優解。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。Based on the minimum cross entropy theory, a new model, which can forecast mortality distribution by minimizing the cross entropy function subject to the future life expectancy of insurants, is proposed
基於最小叉熵原理,建立了預測被保人死亡率分佈的一個模型最小叉熵模型,該模型以叉熵函數作為目標函數,以被保人的預期壽命作為約束條件,通過最小化叉熵預測被保人的死亡率。In this paper, we propose a modified minimize entropy principle approach ( mmepa ) and extract classification rule, and then build the classification tree model
在這里,提出一種基於mmepa (改進的最小熵原理方法)的決策樹構造方法,並通過一個實例對其進行說明,用此方法提取分類規則,構造決策樹模型。In the study of entropy expression of porous media convection - diffusion process, the reason why minimum entropy production principle is uncomformable is analyzed
在多孔介質對流擴散問題的熵產規律的研究中,分析了最小熵產原理在這一問題中的不適應性的原因。Abstract according to the defect of the conventional bayes " method in the geomechanical engineering back analysis, expanding bayes " method was established in this paper. with the applications of the probability theory and the mathematical statistics principle, the geomechanical engineering random back analysis objects function was founded based on the aic criterion of the decision information theory and the maximum entropy criterion, a the matching question between the observed information and the previous information of the conventional bayes " method were proposed. in addition, the least square method, maximum likelihood method and conventional bayes " method were unified in form
本文針對巖土工程反分析中使用的傳統貝葉斯法中存在的缺陷,提出了擴展貝葉斯法,從概率論和數理統計的原理出發,建立了基於決策信息論中aic準則和最大熵準則的巖土工程隨機反演的準則函數,解決了傳統貝葉斯法的觀測信息與先驗信息的匹配問題,並從形式上完成了目前常用的最小二乘法、最大似然法及傳統貝葉斯法準則函數的統一,並可由觀測數據的質量和數量進行預測模型的辨識。分享友人