-
ZuiXiaoErCheng
最小二乘法的matlab M文件，简单易懂，还画出了相应的图形(Least squares matlab M files, easy to understand, but also draw the corresponding graph)
- 2011-01-06 00:01:26下载
- 积分：1
-
XFEM_Fracture2D-master
说明： matlab xfem 插件，可用于计算多裂纹交叉融并结果(Matlab XFEM plug-in can be used to calculate the results of multi crack cross fusion)
- 2020-12-23 22:11:44下载
- 积分：1
-
Mechanical-fault-diagnosis-
介绍国内外机械故障诊断技术的发展情况，并列举了应用实例。(Describes the development of domestic and foreign machinery fault diagnosis technology, and examples of its applications.)
- 2015-03-24 17:14:07下载
- 积分：1
-
基于故障树的蒙特卡罗仿真
利用蒙特卡洛原理实现故障树可靠性的分析。(The reliability of fault tree is analyzed by Monte Carlo.)
- 2020-08-28 13:18:13下载
- 积分：1
-
ofdm
a matlab program which depicts the transmission , reception of ofdm signal
- 2011-07-11 13:14:19下载
- 积分：1
-
RBF-network-sliding
基于RBF网络补偿的控制输入受限滑模控制(Compensation control based on RBF network sliding mode control input constraints)
- 2013-11-11 13:42:58下载
- 积分：1
-
classic_mseq
生成M序列的经典代码，可以生成不同基数的M序列(Generation M sequence of the classic code, and can form the base sequence M)
- 2007-01-23 15:42:12下载
- 积分：1
-
kriging
用于地理空间插值的普通克里金方法。采取指数形式的变差函数。(Used in geographical spatial interpolation, ordinary kriging method.The form of index variation function.)
- 2014-08-24 22:42:48下载
- 积分：1
-
BP
说明： BP网络是通过输入层到输出层的计算来完成的。多于一层的隐含层虽然能在速度上提高网络的训练,但是在实际应用中需要较多的训练时间,而训练速度可以用增加隐含层节点个数来实现,因此在应用BP神经网络进行预测时,选取只有一个隐含层的三层BP神经网络就足够了。(The BP network is completed through the calculation of the input layer to the output layer. Although the hidden layer of more than one layer can improve the training of network in speed, more training time is needed in practical application, and the training speed can be realized by increasing the number of hidden layer nodes. Therefore, when the BP neural network is used to predict, the three layer BP neural network with only one hidden layer is sufficient.)
- 2018-04-26 21:18:39下载
- 积分：1
-
IPv4toIPv6
ipv4过渡到ipv6的一些技术分析，希望对大家有用(ipv4 transition to ipv6 some of the technical analysis, hope for all of us)
- 2010-01-16 09:38:56下载
- 积分：1
