We then apply the one-tailed version of Chebyshev's Inequality to estimate the percentage of light reaching a surface at depth t.

這樣我們應(yīng)用一個修改版的切爾雪夫不等式去估計光源到達深度t平面的百分比小黄片无码视频。

Aiming at the problems of over-fitting and generalization for neural networks, the locally most entropic colored Gaussian joint input-output probability density function estimate is studied, and a new method by means of Chebyshev inequality is proposed to self-revise respectively according to every cluster.

針對神經(jīng)網(wǎng)絡(luò)的過擬合和泛化能力差的問題国内网红AA黄色视频，研究了樣本數(shù)據(jù)的輸入輸出混合概率密度函數(shù)的局部最大熵密度估計美日韩男女精品视频在线，提出了運用Chebyshev不等式的樣本參數(shù)按類分批自校正方法在线超碰人人摸，以此估計拉伸樣本集，得到新的隨機擴充訓(xùn)練集人人色人人插人人操。

We can thus choose any monotonic warp of the depth metric and still obtain an upper bound on the visibility using Chebyshev's Inequality as with standard VSMs.

我們可以選擇一個單調(diào)的深度扭曲矩陣影视先锋资源av无码专区，但還是能夠得到運用切爾雪夫不等式得到可見度的最高限。

Moreover, with its help people can also evaluate the fault-tolerant performance of ANN. In this paper, Chebyshev Inequality method, as a kind of evaluating thought, was firstly concerned in the faulttolerance analysis of ANN; 4. The variation of faulty behaviors of ANNs during the course of learning was studied by taking the discrete Hopfield neural network and Hebb learning algorithm as examples.

這種方法首次將切比雪夫不等式引入人工神經(jīng)網(wǎng)絡(luò)容錯性分析當(dāng)中黄片al区一区二，從而提出了對人工神經(jīng)網(wǎng)絡(luò)容錯性分析采用估算的思想自拍日韩精品视频在线播放； 4 以離散型Hopfield神經(jīng)網(wǎng)絡(luò)和Hebb學(xué)習(xí)算法為例，著重研究了在學(xué)習(xí)過程中人工神經(jīng)網(wǎng)絡(luò)故障性能的變化日韩黄片点结进入。

Second, On the basis of analysis of density distribution of sequence points on the chaotic orbit of one-dimension chaotic mapping, a mutative interval chaotic optimization algorithm is presented in search for the solution optimums of the non-linear constrained problems with multi-variables and multi-peak values. With the objective function probability measurement approaching a limit 1, the convergence of the algorithm on the global optimal solution is proofed by aid of Chebyshev inequality.

二欧洲美女色黄A片,视频、基于一維混沌映射混沌點集的概率測度分析，提出了一種適于解決多變量多峰值非線性約束問題的新的混沌優(yōu)化算法——變區(qū)間混沌優(yōu)化算法，并應(yīng)用切比雪夫不等式論證了算法依概率收斂于全局最優(yōu)解伊人91无码在线。

By transforming the nonlinear saturation constraint into the special linear constraint, the problem of solving the feedback controller with saturated actuator is converted to the design of controller with linear constraint. The stochastic stability is ensured by using the intersection of ellipsoid invariant set of different modes existing in the attraction domain of the closed loop system. In this case, solving controllers can be equivalent to a solvability problem of linear matrix inequalities.

通過將非線性飽和約束轉(zhuǎn)化為特殊的線性約束www精品.国产，使具有飽和執(zhí)行器的控制器求解問題轉(zhuǎn)化為線性約束控制器的求解問題，利用位于閉環(huán)系統(tǒng)吸引域內(nèi)的不同模態(tài)下橢圓不變集的交集來保證系統(tǒng)的隨機穩(wěn)定性天天舔天天日天天射，此時控制器的求解可等效為線性矩陣不等式的可解性問題女人逼的视频。

Moreover, we pointed out some errors in the litterature concerning the closure property of two families of ageing notions and gave a new proof; established probability inequalities for some common used discrete ageing notions, and obtained some comparison results of inspection paradox.

另外，我們指出文獻中關(guān)于兩類壽命分布類卷積封閉性證明的錯誤日韩欧美强迫视频网，并糾正其錯誤精品久久久久久电影；建立了常見的離散型壽命分布類對應(yīng)的概率不等式；給出了檢查悖論中的一些隨機比較結(jié)果免费看的黄色视频。

And the closure property of inverseM-matrices under Hadamard product are analyzed, the properties of generalizedPerron complement of inverse M-matrices, inequality of Fan product of H-matricesand Perron root estimation of nonnegative matrix are studied.

本文研究了逆M-矩陣的性質(zhì)和完成，并且討論了有關(guān)逆M-矩陣Hadamard 積的封閉性九九热线国产精品视频6，不可約逆M-矩陣的廣義Perron補日韩成年黄网站视频，H-矩陣的Fan積不等式以及非負(fù)矩陣的Perron根的估計。

On one hand, we analyse the virtues and disadvantages of existing algorithms based on inequality criterion and transform domain, then a fast codeword search algorithm based on ordered Hadamard transform is presented.

一方面加勒比视频官网，分析現(xiàn)有的基于不等式判據(jù)和基于變換域的各種算法的優(yōu)缺點最新国产91自拍，提出了一種新的基于排序哈德瑪變換的快速碼字搜索算法。

The topics covered include the basic concepts of information theory--entropy, mutual information, channel capacity, information rate, Shannon's noiseless coding theorem and Shannon's fundamental coding theorem; modeling of information sources--zero-memory and Markov models; modeling of information channels--BSC and BEC channels, additivity of information and cascaded channels; construction of compact source codes--Kraft inequality, compact codes, Huffman and LZW compression codes; and analysis and design of error-control channel codes--Hamming distance, binary linear codes and the parity-check matrix, Hamming codes, checksum codes, cyclic codes and the generator polynomial and CRC codes.

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