-
222
DSP理论分析以及MATLAB详细程序实例 非常不错(DSP theory analysis and MATLAB examples of detailed procedures)
- 2009-05-26 17:58:39下载
- 积分：1
-
stephan.mdl.tar
Modeling the Stephan cooking mixer, Hardware in the loop simulation
- 2013-10-09 20:47:04下载
- 积分：1
-
RigidBody
Rigid Body Dynamic Triple Pendulum with Springs
- 2014-01-25 16:02:57下载
- 积分：1
-
face_detection
说明： 实现人脸检测的功能，对合适大小的图像，将其放在相应的matlab文件夹下即可自动进行人脸检测并定位。(For face detection function, the size of the image on the right, put it in the appropriate folder automatically matlab for face detection and localization.)
- 2010-04-21 11:10:32下载
- 积分：1
-
DDDW
GPS单点定位程序，包含RINEX文件 .N和.O文件，得到观测点位置(GPS point positioning procedures, including RINEX files .N and .O files get observation point)
- 2015-03-03 15:40:48下载
- 积分：1
-
Windturbines_WAWSFFT_Davenport
基于快速傅里叶变换的谐波叠加法风速时程模拟，虽然是已有算法，但是经过自己切实操作保证可用，并且加入频谱比较以及结果输出(Fast Fourier Transform harmony superposition method simulation process when wind speed, although the existing algorithms, but through their own operations to ensure the effective available, and adding the results and compare the spectral output)
- 2020-11-15 13:59:42下载
- 积分：1
-
cvx
这是斯坦福大学的教授研制的软件，中国现在学习用的很广的工具，我给出的是相关的资料文章。(This is a professor at Stanford University, developed software, China is now very widely used learning tools, I give the relevant information in the article.)
- 2014-11-30 12:23:40下载
- 积分：1
-
donghua
创建动画 播放动画 分别读入图像 用imshow函数显示(Play the animation to create animated images were read into the display with the imshow function)
- 2011-05-04 10:46:23下载
- 积分：1
-
最速下降法
说明： 最速下降法是迭代法的一种,可以用于求解最小二乘问题(线性和非线性都可以)。在求解机器学习算法的模型参数，即无约束优化问题时，梯度下降（Gradient Descent）是最常采用的方法之一，另一种常用的方法是最小二乘法。在求解损失函数的最小值时，可以通过梯度下降法来一步步的迭代求解，得到最小化的损失函数和模型参数值。反过来，如果我们需要求解损失函数的最大值，这时就需要用梯度上升法来迭代了。在机器学习中，基于基本的梯度下降法发展了两种梯度下降方法，分别为随机梯度下降法和批量梯度下降法。(The steepest descent method is a kind of iterative method, which can be used to solve the least squares problem (both linear and nonlinear). In solving the model parameters of machine learning algorithm, that is, unconstrained optimization, gradient descent is one of the most commonly used methods, and the other is the least square method. When solving the minimum value of loss function, the gradient descent method can be used step by step to get the minimum value of loss function and model parameters. Conversely, if we need to solve the maximum value of the loss function, then we need to use the gradient rise method to iterate. In machine learning, two kinds of ladders are developed based on the basic gradient descent method)
- 2019-11-24 13:06:03下载
- 积分：1
-
Patton_copula_toolbox
PATTON各种时变COPULA的M文件(PATTON variety of time-varying COPULA M-file)
- 2011-05-26 19:49:05下载
- 积分：1
