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ClusterBasics-V1.0
各类聚类算法程序包，包含各种经典的聚类算法，例如：k-mean聚类等(Various types of clustering algorithm package, contains a variety of classic clustering algorithms, such as: k-mean clustering, etc.)
- 2009-01-05 14:00:27下载
- 积分：1
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molulation
有关调制解调的全面程序包，里面的文件夹名字有点乱，但很全面，不要错过哦(For the full modem package, inside the folder name a little messy, but it is full, do not miss it)
- 2010-11-16 09:58:24下载
- 积分：1
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z3
说明： 两层前馈网络，采用Hebb算法，实现机组协调控制(Two-tier feed-forward networks, Hebb algorithm used to achieve coordinated control)
- 2009-07-12 21:20:32下载
- 积分：1
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ver_0.81
program for your use
- 2011-12-05 13:30:22下载
- 积分：1
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Gauss_Seidel_new
该程序完成高斯赛德尔潮流计算的功能，对初学者很有帮助。(The program completed high Sisaideer flow calculation function, useful for beginners.)
- 2020-11-10 20:09:45下载
- 积分：1
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格子玻尔兹曼圆柱绕流
说明： 利用matlab软件编写的格子玻尔兹曼方法模拟的圆柱绕流问题，并实现了可视化(The flow around the cylinder is simulated by lattice Boltzmann method compiled by MATLAB software, and the visualization is realized)
- 2020-01-04 08:48:38下载
- 积分：1
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simulink
对matlab模块进行了详细的讲解，对matlab模块应用和开放很有帮助。(Matlab module on a detailed explanation of the application and open matlab module helpful.)
- 2010-08-12 17:32:48下载
- 积分：1
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kalman
一个卡尔曼滤波程序 利用Matlab实现 本人亲自试验可行(Kalman Filtering with Matlab implementation process)
- 2011-05-28 11:45:33下载
- 积分：1
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tianxian
天线工程文档，可以帮助大家学习天线的相关知识，并进行一些简单的仿真。(PDFs can help you to learn something about the aperture.)
- 2013-12-12 09:21:33下载
- 积分：1
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FR
说明： 共轭梯度法（Conjugate Gradient）是介于最速下降法与牛顿法之间的一个方法，它仅需利用一阶导数信息，但克服了最速下降法收敛慢的缺点，又避免了牛顿法需要存储和计算Hesse矩阵并求逆的缺点，共轭梯度法不仅是解决大型线性方程组最有用的方法之一，也是解大型非线性最优化最有效的算法之一。 在各种优化算法中，共轭梯度法是非常重要的一种。其优点是所需存储量小，具有步收敛性，稳定性高，而且不需要任何外来参数。(The Conjugate Gradient method is a method between the steepest descent method and the Newton method. It only needs to use the first derivative information, but overcomes the shortcomings of the steepest descent method and avoids the need for the Newton method to store And the calculation of Hesse matrix and the inverse of the shortcomings, conjugate gradient method is not only to solve large-scale linear equations one of the most useful methods, but also solution for large-scale nonlinear optimization of one of the most effective algorithm. In a variety of optimization algorithms, conjugate gradient method is a very important one. The advantage is that the required storage capacity is small, with step convergence, high stability, and does not require any external parameters.)
- 2017-05-05 10:26:25下载
- 积分：1
