同熵的 的英文怎麼說
中文拼音 [tóngshāngde]
同熵的
英文
homoentropic
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熵 :
名詞[物理學] entropy; thermal charge
-
的 :
4次方是 The fourth power of 2 is direction
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Because they are fascinated by mathematics, logic, and science and have taken on the rational madness of their scientific confreres, we read much these days about information theory and its relation to the psychology and composition of music ; about statistical probabilities, stochastics, and the markoff chain and their compositional possibilities, about group and set theory as applied to serial music ; about aleatory and indeterminacy and entropy
因為他們迷於數學,邏輯,與科學,將理智狂當成他們科學
同伴;我們最近讀了很多,關于資訊理論及其與心理學及與作曲
的關系;關于統計或然率,隨機,及馬可夫?及其譜曲可行性;關于群組與集合理論之應用於系列音樂;關于偶發性,不確定性,與
熵
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The maximum entropy principle were used to follow population : ( 1 ) mutiallel population in all population that have the given gene distribution, the equilibrium population entropy reach it ' s maximum, the maximum entropy more than 0, and less than 2 nk ( k is the number of the allel ), and maximum entropy equal two times of the same locus gene entropy
( 1 )復等位基因群體對具有
同一基因庫
的復等位基因位點,用最大
熵證明了該位點所對應
的所有群體中,平衡群體
的基因型
熵最大,其數值大於等於0 ,小於等於21nk (這里k為該位點等位基因數目) ,且等於該位點基因庫
熵的兩倍。
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By two ways, this paper debates the theory of fracture detection : on one hand by the way of edge detection in image processing ; on the other hand by time series analysis. the detection by time series analysis is more antinoise than edge detection in image processing. edge detection theory in image processing mainly includes correlation data, fuzzy edge detection, entropy operator edge detection and gradient edge detection
圖像處理中
的邊緣檢測
的方法主要包括相干數據體法、模糊邊緣檢測法、基於
熵運算元
的邊緣檢測法、梯度邊緣檢測法;其中模糊邊緣檢測法比較依賴于參數
的選擇,其渡越點兩邊
的像素區別明顯;
熵運算元
的檢測方法則是檢測
的圖像邊緣比較光滑,連通性好;梯度檢測法可以使用不
同的運算元核,演算法比較簡單;相干數據體對于總體
的大
的裂縫
的分佈具有比較奸
的反應。
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Different bit rates are allocated to wavelet blocks according to energy the wavelet blocks include. bit rates in wavelet blocks are adaptively adjusted in coding process. by use of bipartition, the entropy of each wavelet block approximates to the target bit rate of one
該演算法首先根據每個小波塊所含能量
的多少和到每個小波塊實際編碼所用
的比特數,給其分配不
同的碼率;然後根據二分法,通過調整各小波塊
的量化因子使得各小波塊
的熵逼近它
的目標比特率。
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A coding scheme is proposed to eliminate the redundancy of output vectors in pyramidal lattice vector quantization ( plvq ). a fast algorithm of labeling lattice points and a fast algorithm of finding lattice points are presented. and the transmission priority in case of asynchronous transfer mode is suggested
提出了一種與圖象本身無關
的熵編碼方法去消除金字塔格型矢量量化( plvq )
的輸出冗餘:
同時也提出了由格點輸出索引和由索引輸出格點
的快速演算法;而且還根據異步傳輸模式( atm )
的特點,選擇了傳輸
的優先級。
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The third, after theoretically analyzing, the following practicable methods are put forward : 1 ) automatically pick - up the synchronous information by analyzing the spectrum of intercepted video - leaking information ; 2 ) realizing the phase lock and the electronic image stabilization by integral - projection and differential - positioning ; 3 ) improving the effect of accumulation mean filter and the pectination filter by using electronic image stabilization ; 4 ) automatically adjusting image acquisition parameters by detecting the image entropy, therefore the quality acquired image is improved ; 5 ) to realize the quantitative test of a leaking extent, a standard test picture was designed. finally, a proto type for leaking information processing based on our techniques mentioned above and the virtual instrument principle was designed and tested
在理論分析
的基礎上,提出了以下
的實用技術: 1 )用譜分析方法從截獲
的信息中自動提取
同步信息; 2 )用積分投影、微分定位
的方法進行相位檢測,實現可靠
的鎖相和電子穩像; 3 )將電子穩像技術用於重加濾波和梳狀濾波
的濾波方法,改進了濾波效果; 4 )通過檢測圖像信息
熵實現圖像採集參數
的自動調整,改進了圖像採集
的質量; 5 )設計了用於儀器定標
的標準測試圖,可以對泄漏信息進行定量檢測。
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The problem discussed in this paper is to separate two ( or more ) input signals from observed signals which are generated by passing input signals through diffrent unknown multi - input multi - output linear systems. it is proved that the input signals can be separated when they are independent identitically distributed ( i. i. d ) signals. a new algorithm for multi - input multi - output blind deconvolution via maximum entropy is presented which needs no information about the input signals and mixing filters
本文研究
的問題是從觀察信號中分離出兩個(或者更多個)輸入信號,其中每一組信號分別通過不
同的未知多輸入多輸出線性系統.本文證明了當輸入信號是兩兩相互獨立
的獨立
同分佈信號時可以分離出輸入信號,並導出了基於最大
熵的多輸入多輸出盲解卷新演算法.這個演算法不需要任何關于輸入信號和混合濾波器
的先驗知識
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This paper analyzes the factors to influence the information entropy and establishes the information entropy change model via economic data
根據
同期
的社會經濟數據,分析了影響信息
熵變化
的因素,並建立信息
熵變化模型。
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Based on result of the multiple objective optimization, this dissertation investigates the multiple objective decision of mixed - model flow m anufacturing system. in allusion to the pareto frontier, in terms to the assistant information of decision schemes, the preference of objectives, the preference of decision schemes, individual decision - making and group decision - making are gained through the measure function, 0 - 1 programming and relative entropy combining with subjective and objective factors
在多目標優化
的基礎上,研究了混合流水生產系統
的多目標決策問題,針對多目標協
同優化得到
的pareto前端,依據決策方案
的輔助信息、對指標有偏好
的信息以及對決策方案有偏好
的信息等,採用測度函數、 0 - 1規劃方法以及相對
熵的方法,結合主客觀因素進行多目標個體決策和群體決策,把多目標優化與多目標決策聯系起來。
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With difference from the way that traditional methods perform by accumulating the frequency of keywords. we propose a new metrical function that employs the rs - based entropy by comparing function values to measure the feature of web pages. besides, according to the unstructured and heterogenous characteristics of www, the effect of hypertext tags to keywords " weigh has been taken into account to obtain the most effective keywords for document classification
有別于傳統
的對關鍵字頻度進行累加
的方法,本文提出了基於信息
熵的文本關鍵詞測度函數,通過對關鍵詞函數值進行比較,獲取對文本分類最具影響性
的關鍵詞序列;
同時,針對web上異質、非結構化信息
的特點,該分類演算法還考慮了超文本標記對關鍵詞權值
的影響。
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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。
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Such conclusion can be made according to the prior analysis that shannon theory can be introduced into risk management to estimate risk, appraise risk and make decision. furthermore, the result of analysis on the project in the dissertation is is consistent with the fact, that is to say, choosing the daxie island, ningbo as the plant site for the project accords with the conclusion of the paper
通過前面各章
的分析,得出結論:在風險管理中,完全可以引入
熵的理論,進行風險
的估計、評價和決策,
同時,利用該理論得出
的結論與實際情況是相符
的,即煙臺萬華聚氨酯股份有限公司16萬噸年mdi工程最終廠址選擇在寧波大榭島,與本文
的結論是一致
的。
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After the discussion of the algorithm of complexity parameters, lyapunov exponent and apen, the pressure fluctuation in fluidized beds is analyzed quantitatively. the effect of different operating conditions, such as variant gas superficial velocities, axial positions and static bed heights, is discussed
在討論復雜性參數、 lyapunov指數、近似
熵的演算法基礎上,對流化床壓力脈動進行定量分析,討論了表觀氣速、軸向位置、靜床高等不
同操作條件對混沌特徵參數
的影響及其對應
的動力學規律。
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Moreover, a strategy for imputation of null values based on changed precision model is put forward to improve anti - disturbing ability of model secondly, several primary algorithms are indrouced and discussed, the direction and target of discretization is analysised, to gain logical cuts, a method to discretize continuous attributes based on rough entropy is brought forward at last, the potential client datamining system in electronic commerce is put forward, all given algorithms is applied to the system, and compared by test results, and the new idea of this paper is simply described and some problems in this paper that need to improved on are proposed
然後,對目前流行
的離散化演算法進行了詳細
的分析和評價,指出了離散化
的方向和目標,並提出了基於粗糙信息
熵的離散化演算法,以便在保證劃分后決策表相容性
的前提下,獲得比較合理
的劃分點。最後,提出了電子商務
的潛在客戶挖掘系統,並將前面提出
的基於粗集
的演算法理論應用到該系統中,
同時和其他幾種現有
的數據補齊和離散化演算法進行了實驗比較和結果分析。並指出本文創新之處以及存在
的問題和努力
的方向。
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Information storage implies knowledge capacity inside an enterprise ; its alteration depends on passively or periodically collecting, initiatively absorbing and exploring and innovating information. information entropy indicates the sequencable extent of the knowledge system. in fact, knowledge management is the process to decrease information entropy through administration and estimation on knowledge unit
知識存量反映了企業內部
的知識容量,其變動取決于被動地或周期性收集知識、主動吸收知識、探索創新知識等三個方面;信息
熵反映了知識系統
的有序化程度,知識管理就是通過對知識元
的管理與評估活動降低知識系統信息
熵的過程;知識系統
的整體內容則表現在知識語義上,不
同的人對
同一個知識系統獲得
的語義是不
同的。
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A load balancing algorithm based on parallel computing entropy in hpc
基於并行計算
熵的同構集群負載均衡演算法
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( 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。
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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。
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I consider the distance factor and combine the shannon entropy theory to educe the distance entropy function, then use it as the insert calculation function. the distance entropy function make a good terrain surface fitting effect and extend the application field of entropy theory as well as the calculation method of curved surface fitting
通過考慮距離因素,並結合香農
熵理論,得出基於距離
熵的曲面插值函數,將其用於地表曲面擬合,取得良好
的擬合效果,拓寬了
熵的應用與研究范圍,
同時也拓展了用於曲面擬合
的數值計算方法。
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Correlation dimension and information entropy for the time series is calculated at same time with a visual basic program which adapt to deal with chaotic problems
本文編制的同時回歸出時間序列的關聯維及信息熵的vb程序,對處理混沌問題具有一定的通用性。