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于 2013-08-25 发布文件大小:8KB

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cost存放了一个强连通图的边权矩阵，作为一个实例。可在workspace中加载运用此算法要注意多次试验。(storage cost of a strongly connected graph edge weight matrix, as an example. Loaded in the workspace using this algorithm is to pay attention to several tests.)

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psopid
基于pso算法优化的PID神经网络的系统控制算法(Pso optimization algorithm based on neural network PID control system algorithm)

2014-12-03 00:18:59下载

积分：1
ruili_awgn_rocbijiao
认知无线中的能量检测，仿真了高斯信道和瑞利信道的检测概率、虚警概率与判决门限的关系曲线以及两者之间的关系曲线(The detection probability, false alarm probability and the decision threshold of the Gauss channel and the Rayleigh channel are simulated by the energy detection in cognitive radio.)

2020-06-29 01:40:02下载

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spgl1-1.9
OMP algorithm to implement compressive sensing algorithms

2019-02-09 11:10:10下载

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FCMand
说明：在聚类分析中,模糊c-均值算法是应用最广泛的聚类算法之一,针对该算法对初始化敏感,容易陷入局部极小点的缺点,论文提出了一种基于核的模糊聚类算法.在算法中将核方法与模糊可能性算法相结合,将模糊c-均值算法结果作为初始中心,放松了对隶属度归一化的条件,对噪声有更好的处理能力.IRIS数据和人造数据的实验结果表明该算法的有效性(Chun-Fu Lin,Sheng-De Wang.Fuzzy support vector machines.[J].IEEE transactions on neural networks / a publication of the IEEE Neural Networks Council,2002,13(2).464-71.)

2020-11-23 09:23:55下载

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code
code for mean and median filters

2010-08-30 14:40:14下载

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anquanguohe
先定义允许状态S={(x,y)|x=0或3,y=0,1,2,3 x=y=1,2}, 允许决策D={(u,v)|u+v=1,2},求dk<-D(k=0,1,2,…,n),使状态Sk<-S按照状态转移律S(k+1)=S(k)+(-1)^k*dk,由初始状态 S1=[3,3]经有限步到达状态S(n+1)=[0,0].此为求解多步决策问题( First define to allow the state S = ((x, y) | x = 0 or 3, y = 0,1,2,3 x = y = 1,2), to allow the decision-making D = ((u, v) | u+ v = 1,2), seek dk < -D (k = 0,1,2, ..., n), so that state Sk < -S state transition in accordance with law S (k+1) = S (k )+ (-1) ^ k* dk, from the initial state S1 = [3,3] by the finite-step to reach the status S (n+1) = [0,0]. This is a multi-step decision-making problem solving)

2010-02-17 12:02:50下载

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CH10programme
说明：神经网络西安电子科技大学出版社侯媛彬全书程序夹 CH10(Neural network)

2010-04-30 10:41:43下载

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sep-leach
在pudn找到的leach协议的源代码大多是基于这篇文章的，把原版论文和大家共享。(SEP:A Stable Election Protocol for clustered heterogeneous wireless sensor networks )

2011-12-13 16:32:40下载

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HessianSSR
基于Hessian能量的半监督回归，并将其应用于半监督维数约简。(This is code for the semi-supervised regression using Hessian energy. Kwang In Kim, Florian Steinke and Matthias Hein, "Semi-supervised Regression using Hessian energy with an application to semi-supervised dimensionality reduction" NIPS 2009)

2013-08-30 12:42:41下载

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svm
use SVM to realize classification

2014-09-14 01:45:34下载

积分：1

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