shannon function 中文意思是什麼
shannon function
解釋
夏儂函數-
Shannon entropy function is used to smoothing it. a non - interior predictor - corrector continuation method is built for a class of mixed complementarity problems
基於非線性互補問題的一個等價不動點格式，第五章分別用shannon熵函數和kullback熵函數光滑化max函數。 -
The strong deviation theorems are new type theorems established by using the notion of the likelihood ratio. professor liu wen frist applied an analysis method in solving a class of strong deviation theorems for a sequense of random variables. later professor liu wen studied the shannon - mcmillan theorem in information theorems [ 2 ] - [ 8 ] and deviation theorems of non - negative continuous random variables [ 10 ] - [ 11 ] by using the analytic technique and obtained some strong deviation theorems. the chapter 2 of the paper studied a class of strong deviation theorems of function of two variables of information sources and obtained a further study of shannon - mcmillan theorem of markov information sourses by definning the using concept of entropy density divergence. the chapter 3 of the paper studied a class of strong deviation theorems of non - negative continuous random variables by using tool of transformation of laplace. information theory, as a branch of applied probability theory, becomes more and more important in appling
劉文教授在解決大數定律中，用首創的分析方法得到一類隨機變量序列的強偏差定理。后來，劉文教授把分析方法用於信息論中shannon - mcmillan定理和連續型隨機變量的偏差定理的研究，得到了若干強偏差定理。本文的第二章是引進任意信源相對熵密度偏差的概念，並利用這個概念研究任意信源二元函數的一類強偏差定理，得到了馬氏信源shannon - mcmillan定理的一個推廣。 -
The applications of shannon entropy and kullback ' s cross - entropy as perturbations are discussed. by maximizing the perturbed lagrangians in dual space, we obtain the exponential penalty function and exponential multiplier penalty function, respectively, for inequality constrained nlps
文中分別以shannon熵函數和kullback叉熵函數作為攝動函數，導出其對偶函數分別是原問題的指數罰函數和指數乘子罰函數。 -
The method directly executes wavelet packet decomposition of handwriting texture using wavelet packet basis db6 at scaling 3 in 2d space, then reconstructs the decomposition coefficient of 15 wavelet packet best basis which are took by shannon entropy cost function
該方法直接在二維空間上由db6小波包基對筆跡紋理實施3尺度小波包分解，再在由以香農熵為代價函數提取得到的15個小波包最好基處對分解系數實行重構。 -
A new merit function ( potential function ) is constructed in chapter three, based on the balanced effect of the min - max problem. because of the non - smoothness, shannon entropy is used to smooth the merit function
鑒于該效益函數是非光滑的，不便於操作，使用前一章給出光滑函數做了光滑處理，而得到的光滑效益函數是一個凸函數。 -
Maximum entropy method is an effective smoothing one for the finite min - max problem, which, by adding shannon ' s informational entropy as a regularizing term to the lagrangian function of min - max problem, yields a smooth function that uniformly approaches the non - smooth max - valued function
極大熵方法是解有限極大極小問題的一種有效光滑化法，它通過在極大極小問題的拉格朗日函數上引進shannon信息熵作正則項，給出一致逼近極大值函數的光滑函數。 -
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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