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NNClassification
说明： 用NN算法对于急病类型进行分类实例
NN For Classification(NN algorithm used for the mistress type NN For example Classification Classification)
- 2006-03-26 15:33:42下载
- 积分：1
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Kalman11111111
说明： 卡尔曼滤波，在matlab上实现，此为记事本文件，复制到matlab的M文件即可运行(Kalman filter in matlab to achieve this for the Notepad file, copy it to matlab to run M-files)
- 2008-11-20 09:31:40下载
- 积分：1
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tvreg
TV-based image restoration and Chan-Vese segmentation. Usable MATLAB or C/C++
- 2014-11-18 07:25:05下载
- 积分：1
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stove_top_3D_FD
finite difference method to solve a 3-D BVP that models heat transfer
- 2012-09-23 23:48:32下载
- 积分：1
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perfect2
2016年国赛建模A题中第1题风速为24m/s时的一种求解方法，画出了锚链的形状。(a solution to the first question in the wind speed of 24m/s in 2016 National Modeling Competition)
- 2016-11-09 13:43:20下载
- 积分：1
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ProQuestMedicalLibrary
ProQuest Medical Library全文数据库(ProQuest Medical Library full-text database)
- 2007-10-22 18:30:05下载
- 积分：1
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fuzzy-logic-for-leach_modified
it is fuzzy logic for wireless protocol of wide area wireless sensor Network-leach_modified protocol.
- 2013-01-22 00:29:17下载
- 积分：1
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12
说明： ica faces for recognition
- 2010-03-28 00:31:04下载
- 积分：1
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Matlabderivative
用Matlab计算导数及偏导数
.rar
可以(Calculated using Matlab Derivative and partial derivative. Rar can)
- 2008-04-20 13:20:40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
