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M_uniform
二维布朗运动的仿真，观察其分布特点，看某点做布朗运动后的运动点的分布（空间是矩形）(brown sim)
- 2010-12-14 22:22:45下载
- 积分：1
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Matlab
了解目前指紋使用環境,
使用功能,以及未來的發展(Understand the current fingerprint with the environment, function, and future development)
- 2011-08-17 15:49:04下载
- 积分：1
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2011cumcmB
2011年数学建模B题程序代码，解决城市网点分布缉拿小偷的问题(2011 Mathematical modeling code of Problem B)
- 2012-07-06 13:42:38下载
- 积分：1
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Newton-Raphson-power-flow
通用的牛顿拉夫逊法潮流计算程序，可以自行输入支路参数矩阵，节点参数矩阵。(Universal Newton Raphson power flow )
- 2014-01-02 19:20:32下载
- 积分：1
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dszsu
用于计算离散序列c*a^k 运行环境matlab(Used to calculate the discrete sequence c* a ^ k runtime environment matlab)
- 2009-09-25 23:19:43下载
- 积分：1
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Mat2Vec
function used to convert the matrix to vector
- 2014-09-10 04:01:14下载
- 积分：1
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TMP_5_Codes
ANFIS modeling & simulation
Compelete codes for building & training a fuzzy Inference System
- 2014-12-18 05:54:02下载
- 积分：1
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gaussf
GAUSS滤波器 MATLAB语言 本科毕业设计需要(GAUSS filter)
- 2013-04-15 20:36:25下载
- 积分：1
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zuobiaobianhuan
采用matlab2013的smulink自己搭建的坐标变换模块，经测试可用，包括park变换、clark变换、park逆变换、clark逆变换、三相静止直接变换到两相旋转坐标系、两相旋转坐标系变换到三相静止坐标系。(The coordinate transformation module of matlab2013 smulink to build their own, can be tested, including Park transform, Clark transform, park transform, Clark transform, three-phase direct conversion to two-phase rotating coordinate system and two-phase rotating coordinates to three-phase static coordinate system.)
- 2017-03-16 10:01:20下载
- 积分：1
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SPGP_dist
这是一个关于稀疏高斯过程的matlab源码，可以用于计算测试输入的高斯预测值。( spgp_pred computes the SPGP predictive distribution for a set of
test inputs. You need to supply a set of pseudo-inputs or basis
vectors for the approximation, and suitable hyperparameters for the
covariance. You can use any method you like for finding the
pseudo-inputs , with the simplest obviously being a random subset of
the data. It is coded for Gaussian covariance function, but you could
very easily alter this. It is also fine to use for high dimensional
data sets.
spgp_lik is the SPGP (negative) marginal likelihood and gradients
with respect to pseudo-inputs and hyperparameters. So you can use this
if you wish to try to optimize the positioning of pseudo-inputs and
find good hyperparameters, before using spgp_pred . I would recommend
initializing the pseudo-inputs on a random subset of the data, and
initializing the hyperparameters sensibly. Its current limitations are
that 1) it is slow and memory intensive for high dimensional data sets
2) it is heavi)
- 2021-05-13 07:30:02下载
- 积分：1
