entropy function造句
例句與造句
- In this paper , the convergence theorems of the adjustable entropy function method are studied
摘要對調(diào)節(jié)熵函數(shù)法的收斂性作了理論分析。 - Kullback ' s cross - entropy function is tried to smooth the minimal ncp - function and a non - interior continuation method is constructed for lcps
本章嘗試用叉熵函數(shù)來光滑化極小化ncp函數(shù)。 - For focus measures , frequency spectrum functions , gradient functions and entropy function are analyzed in detail
其次，本文從頻譜函數(shù)、梯度函數(shù)、熵函數(shù)等方面詳細(xì)分析了對焦深度法中常用的對焦評價函數(shù)。 - Firstly , a nonlinear programming problem with multiple constraints can be converted into a programming problem with single constraint via maximum entropy function
先引入極大熵函數(shù)，將多個約束的非線性規(guī)劃問題，轉(zhuǎn)化為只含一個約束的規(guī)劃問題。 - The long - time decay behavior of solutions of one dimensional 4th - order degenerate parabolic equation is studied by using the entropy function and energy estimate method
摘要利用熵函數(shù)并結(jié)合能量估計，研究了一維四階退化拋物方程解隨時間衰減的行為。 - It's difficult to find entropy function in a sentence. 用entropy function造句挺難的
- Shannon entropy function is used to smoothing it . a non - interior predictor - corrector continuation method is built for a class of mixed complementarity problems
基于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(shù)和kullback熵函數(shù)光滑化max函數(shù)。 - The article has expatiated the definition of the entropy function of thermodynamics , and discussed enough the irreversible process of entropy - transtion compute about the thermodynamics system
摘要闡述了熱力學(xué)熵函數(shù)的定義，并對熱力學(xué)系統(tǒng)的不可逆過程的熵變計算作了充分的討論。 - When adding an entropy function as regularizing term to the lagrangian function , we obtain a smooth approximate function for m ( x ) , which turns out to be the exponential penalty function
當(dāng)將熵函數(shù)作為正則項加到拉格朗日函數(shù)上，我們得到了逐點逼近于m ( x )的光滑函數(shù)。經(jīng)證明，該函數(shù)即為指數(shù)罰函數(shù)。 - Firstly , the duality principle is used to change the linear program problem into the minimax problem , an interval extension of the adjustable entropy function is set up and its order of convergence is discussed
首先利用對偶理論將線性規(guī)劃問題轉(zhuǎn)化為極大極小問題，建立并討論了調(diào)節(jié)熵函數(shù)的區(qū)間擴張及其收斂階。 - In this thesis , we extend the entropy regularization method in two ways : from the min - max problem to general inequality constrained optimization problems and from the entropy function to more general functions
本文從兩個方面發(fā)展了這種熵正則化方法，即將其從極大極小問題推廣到一般不等式約束優(yōu)化問題上和用一般函數(shù)代替熵函數(shù)作正則項，建立新的正則化方法。 - 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
基于最小叉熵原理，建立了預(yù)測被保人死亡率分布的一個模型最小叉熵模型，該模型以叉熵函數(shù)作為目標(biāo)函數(shù)，以被保人的預(yù)期壽命作為約束條件，通過最小化叉熵預(yù)測被保人的死亡率。 - The article build the mathematic model of terrain surface with the nonlinear insert calculation using the distance entropy function as the insert calculation function in terrain surface fitting and deal the visualization with grid method
采用非線性插值方法，用距離熵函數(shù)作為地表曲面擬合的插值函數(shù)，構(gòu)造地表曲面的數(shù)學(xué)模型，并采用規(guī)則格網(wǎng)法進(jìn)行表面剖分，最終實現(xiàn)地形的三維可視化效果。 - Furthermore , when replacing the entropy function by a general separate multiplier function , we develop a new regularization approach , referred to as lagrangian regularization approach . this approach does not only provide a unified smoothing technique for the non - differentiable m ( x ) and but also offers a unified framework for constructing penalty functions , whereby building a bridge between the penalty functions and the classical lagrangian
該方法不僅提供了統(tǒng)一光滑不可微函數(shù)m ( x )和( ? | r _ - ~ m )的辦法，而且還給出了一種構(gòu)造罰函數(shù)的統(tǒng)一框架，由此將罰函數(shù)與經(jīng)典拉格朗日函數(shù)從對偶空間的角度聯(lián)系在一起。 - 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 + +軟件開發(fā)平臺及模糊id3算法的基礎(chǔ)上，從解析的角度出發(fā)，通過分析參數(shù)與模糊熵之間的函數(shù)關(guān)系式，討論了隨著的增加，模糊熵函數(shù)的變化趨勢，進(jìn)一步分析了參數(shù)對模糊決策樹的分類結(jié)果在訓(xùn)練準(zhǔn)確率、測試準(zhǔn)確率、規(guī)則數(shù)等方面所表現(xiàn)出的敏感性，探討了得到最優(yōu)參數(shù)的實驗方法。實驗證明，利用這一方法得到的最優(yōu)參數(shù)的值，可以使模糊決策樹的分類結(jié)果達(dá)到最好的效果，從而為人們用模糊決策樹進(jìn)行分類時選取參數(shù)以獲得最優(yōu)的分類結(jié)果，提供了良好的理論依據(jù)。 - The cnn with based - term will be restudieiin chapter 3 . under certain parameters , the stationary solutions " iteration map is topological conjugate to a beruonulli shift of certain symbolic space . moreover , the spatial entropy function of the map is two - dimensional and can be obtained explicitly as a space devil - staircase
在本文第三部分，我們在閾值非零的情況下，重新對其定態(tài)解誘導(dǎo)的一維迭代映射進(jìn)行了細(xì)致分析，得知在不同的參數(shù)范圍內(nèi)，迭代映射拓?fù)涔曹椨诓煌姆柨臻g的有限子移位。
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