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mpi_kmeans_
改进的k均值算法,可以加速运行时间,详见Using the Triangle Inequality to Accelerate k-Means(Improved k-means algorithm, can accelerate the running time, see Using the Triangle Inequality to Accelerate k-Means)
- 2008-03-31 16:23:56下载
- 积分:1
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果蝇优化算法在pid寻优中的应用 foa-pid
果蝇优化算法在pid寻优中的应用,这个方法很好(Drosophila optimization algorithm optimization of pid, this method is very good)
- 2015-07-27 15:56:43下载
- 积分:1
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C_CMethod
说明: 混沌时间序列分析中的c-c方法,用于求相空间重构时的求时间窗和延时时间(Chaotic time series analysis of the cc method for phase-space reconstruction for the order when the time window and delay time)
- 2009-07-28 17:15:55下载
- 积分:1
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matlab-BF-neural-network
基于matlab里神经网络工具箱仿真一个简单的函数,并绘图显示神经网络建立过程(Based on matlab neural network toolbox simulation of a simple function, and graphics neural network process of establishing)
- 2013-01-05 10:49:48下载
- 积分:1
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ImageProcessing
对一幅图像加入高斯噪声和椒盐噪声后,分别进行均值滤波和中值滤波,比较两种滤波方法的优缺点(Of an image by adding Gaussian noise and salt and pepper noise, the mean filter, respectively, and median filtering, comparing the advantages and disadvantages of the two filtering methods)
- 2010-12-01 16:44:56下载
- 积分:1
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QAM256
256QAM的调制解调matlab源代码(256QAM modulation and demodulation matlab source code)
- 2012-07-26 22:47:07下载
- 积分:1
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2
说明: matlab实现:①递推增广最小二乘参数估计(RELS)②确定性系统的递推梯度校正参数估计(RGC)③递推最小二乘参数估计(RLS)④递推极大似然参数估计(RML)⑤递推随机牛顿参数估计(RSNA)(Matlab: (1) augmented recursive least square parameters estimation (RELS) (2) of a deterministic system recursive gradient correction parameter estimation (RGC) (3) recursive least squares (RLS) (4) parameter estimation, the recursive maximum likelihood parameter estimation (RML) (5) recursive random Newton parameter estimation (RSNA)
)
- 2011-12-05 19:08:57下载
- 积分:1
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ALS_SI_Brochure
big great world if at on in upon secondary selection under table. For the time now till down
- 2015-03-24 03:03:50下载
- 积分:1
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kalman-simulink
说明: 使用matlab simulink编写的卡尔曼滤波程序(Prepared using matlab simulink Kalman filtering process)
- 2011-04-11 20:39:40下载
- 积分:1
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TEST
三相交流电矢量叠加仿真,自动调平衡补偿,完全始创,难得哦(three phase )
- 2011-04-19 16:19:01下载
- 积分:1