-
matlabfunction
matlab数值分析常用算法源代码,包含了数值分析计算里的各种算法的源代码(matlab numerical)
- 2009-07-06 23:45:39下载
- 积分：1
-
matlab
说明： matlab做的直流电动机双闭环调速系统仿真(qqqqqqqqqq)
- 2010-04-27 13:36:09下载
- 积分：1
-
CTProjSim
CT投影数据模拟程序,生成CT的投影数据，十分有用，附说明pdf(Projection simulation)
- 2014-10-27 09:29:21下载
- 积分：1
-
channel_36.873
3GPP 36.873信道建模，用Python编写(3GPP 36.873 channel modeling, written in Python)
- 2018-06-28 22:29:01下载
- 积分：1
-
forest-fire
学习元胞自动机的好程序，尤其对于新手。可以和生命游戏等一起结合来入门学习。(Simulation of forest fire.)
- 2013-04-28 19:04:34下载
- 积分：1
-
bp2&3
两个程序：2层BP网络以及3层BP网络实现的函数逼近。(Two procedures: 2-layer BP network, as well as 3-layer BP network s function approximation.)
- 2006-05-23 11:21:02下载
- 积分：1
-
PSS-thesis
Sparsity-Promoting Optimal Wide-Area Control of Power Networks
- 2014-10-31 19:00:54下载
- 积分：1
-
waveletqumianbo
地震信号处理当中应用小波去除面波干扰，小波变换后进行阈值处理，反变换之后得到面波压制后的地震信号(Surface wave seismic signals obtained after the seismic signal processing to suppress them after removing the surface wave interference wavelet, wavelet transform thresholding, anti transformed)
- 2020-06-30 23:00:02下载
- 积分：1
-
zhangzhengyoubiaoding
张正友平面相机标定法，使用MATLAB编写，程序全面(Zhang Zhengyou plane camera calibration method using MATLAB.)
- 2015-04-21 20:10:52下载
- 积分：1
-
BP-and-SOM
BP（Back Propagation）网络是一种按误差逆传播算法训练的多层前馈网络，是目前应用最广泛的神经网络模型之一。
BP网络能学习和存贮大量的输入-输出模式映射关系，而无需事前揭示描述这种映射关系的数学方程。
它的学习规则是使用最速下降法，通过反向传播来不断调整网络的权值和阈值，使网络的误差平方和最小。BP神经网络模型拓扑结构包括输入层（input）、隐层(hide layer)和输出层(output layer)。
通过对信息的提取以及记忆，用作分类、聚类、预测等。
(BP (Back Propagation) network is a pre-press error back propagation algorithm Multilayer feedforward network, is one of the most widely used neural network model. BP network can learn and store a large amount of input- output mode mapping without prior reveal mathematical equations that describe the mapping relationship. It s learning rule is to use the steepest descent method, by reverse spread to constantly adjust the network weights and thresholds and the minimum sum of squared error of the network. BP neural network topology comprises an input layer (input), hidden layer (hide layer) and an output layer (output layer). By extracting information and memory, it is used as classification, clustering, prediction.)
- 2016-03-09 10:41:33下载
- 积分：1
