-
Backpropagation_Quickprop
一种简单的利用二阶信息来提高训练速度的快速传播算法,权值假设为独立的,下降过程可以对每个权值进行优化。(Use of a simple second-order information to improve the training speed of the fast-propagation algorithm, the right value is assumed to be independent, the process can decrease the value of each right to be optimized.)
- 2009-03-28 01:06:09下载
- 积分:1
-
游标
pb的小例子,是PB中的游标的经品,实现查询功能.(pb small examples, PB cursor on the goods and realize the inquiry.)
- 2005-05-23 22:15:27下载
- 积分:1
-
UltraSV3pwm7Area6
使用Matlab的m语言编写的SVPWM三电平仿真程序,在simulink环境下运行(M using the Matlab language of three-level SVPWM simulation program, run in the simulink environment)
- 2020-11-02 11:49:53下载
- 积分:1
-
VSG
基于matlab simulink 的 电网电压跌落仿真试验模型(A samulation model of VSG based on matlab simulink)
- 2013-03-03 19:05:18下载
- 积分:1
-
Michelson1
说明: 使用matlab模拟迈克尔逊干涉等厚、等倾干涉图样(Simulation of Michelson interference equal thickness interference pattern with MATLAB)
- 2020-12-05 21:39:12下载
- 积分:1
-
22new
迫零和最小均方误差比较,非常好的程序,保证可以仿真出图形(DIP text book kmeans image segmentation Input: ima: grey color image k: Number of classes Output: mu: vector of class means mask:)
- 2012-05-01 11:08:01下载
- 积分:1
-
Matlab
张德丰的几本数集合
Matlab小波分析
程序设计
信号处理(Zhang Defeng several collections the Matlab wavelet analysis
Program design signal processing)
- 2013-03-22 16:43:08下载
- 积分:1
-
BLS-GSM
通过BLS-GSM方法去除影像的噪声,达到保留细节目的(The image noise is removed by BLS-GSM method to preserve details.)
- 2019-02-28 09:33:55下载
- 积分:1
-
CommunicationMatlabSimulator
说明: 通信信号处理的matlab仿真程序,十分好用,欢迎使用!(Communication signal processing matlab simulation program, very easy to use, Welcome!)
- 2010-04-24 20:37:20下载
- 积分:1
-
cut_sample
说明: 使用二分法对样本集进行剪辑,剪辑法的思想,就是将样本集分成训练集与考试集, 利用训练集样本对考试集的样本进行分类(使用近邻法),如果考试集中某个样本分类错误的话,将这个样本删除。在该函数中,使用最近邻法,只进行一次剪辑(遍历完考试集中的样本以后退出)。还有一种重复剪辑法(适用于样本比较多的情况),把样本随机分为多个样本集,将相邻的两个样本前一个作为考试集,后一个作为训练集,调用二分剪辑。所有的样本子集剪辑完毕以后,在递归调用,直到没有样本被剪辑掉,没得讲,重复剪辑的效果肯定好一些。
(The sample sets using the dichotomy of the clips, editing law idea is to sample set into training set and test set, using the training set samples to the test set of samples (using the nearest neighbor algorithm), if the examination focused on a sample of classification error then delete this sample. In the function, use the nearest neighbor method, only once clips (focused on a sample of traversal finished after the exit exam). There is also a repeat clip method (samples are more applicable to the case), the samples were randomly divided into multiple sample set, the two adjacent samples of the former one as a test set, the latter one as a training set, call the two sub-clips. All the samples were a subset of the clips after they have finished, in the recursive call, until there are no samples were clip out, did not have to say that the effect of repeated clips definitely better.)
- 2010-03-19 11:13:13下载
- 积分:1