-
DOA
空间谱估计 经典music算法 2个例子(DOA MUSIC)
- 2010-07-02 15:37:31下载
- 积分：1
-
taxi
Simulation of random nodes movements are generated in matlab
- 2010-05-10 15:24:17下载
- 积分：1
-
2
说明： S 函数 编写的 PID程序
在MATLAB上 调试成功
请大家参考(S function to write the PID program debugging success in MATLAB reference)
- 2013-03-16 16:17:29下载
- 积分：1
-
ICLS
一种改进的混沌算法，结合进化算法进行改进,利用logistic映射进行改进(An improved chaotic particle algorithm to improve the diversity of PSO)
- 2013-11-19 12:20:48下载
- 积分：1
-
1001-5965(2013)04-0564-05
基于FFT 和专家系统的BLDCM 系统故障检测与识别.pdf(Fault detection and identification for dual-redundant BLDCM system using
FFT algorithm and expert system approach)
- 2014-02-02 08:03:47下载
- 积分：1
-
zhiqufengji
直驱风电机组matlab/simulink仿真模型,很有用的风电仿真模型(Direct drive wind turbine simulation model matlab)
- 2015-10-26 22:07:16下载
- 积分：1
-
bianjipu
运用EMD的过程中，想要画出边际谱，边际谱程序的详细代码。(In the process of using EMD, you want to draw the marginal spectrum, the detailed code of the marginal spectrum program.)
- 2020-12-10 11:09:18下载
- 积分：1
-
qrd
自适应信号处理，基于QRD-LSL算法的滤波器算法的仿真(Adaptive signal processing, based on QRD-LSL algorithm simulation of the filter algorithm)
- 2010-07-13 20:28:27下载
- 积分：1
-
MatlabA_PracticalIntroduction
This is a useful book for practical applications in MATLAB
- 2012-09-05 09:06:40下载
- 积分：1
-
Elman
Elman神经网络：Elman网络是 J. L. Elman于1990年首先针对语音处理问题而提出来的, 它是一种典型的局部回归网络( global feed for ward l ocal recurrent)。Elman网络可以看作是一个具有局部记忆单元和局部反馈连接的前向神经网络。Elman网络具有与多层前向网络相似的多层结构。它的主要结构是前馈连接, 包括输入层、 隐含层、 输出层, 其连接权可以进行学习修正 反馈连接由一组“结构 ” 单元构成,用来记忆前一时刻的输出值, 其连接权值是固定的。在这种网络中, 除了普通的隐含层外, 还有一个特别的隐含层,称为关联层 (或联系单元层 ) 该层从隐含层接收反馈信号, 每一个隐含层节点都有一个与之对应的关联层节点连接。关联层的作用是通过联接记忆将上一个时刻的隐层状态连同当前时刻的网络输入一起作为隐层的输入, 相当于状态反馈。隐层的传递函数仍为某种非线性函数, 一般为 Sigmoid函数, 输出层为线性函数, 关联层也为线性函数。(Elman neural network: Elman JL Elman network is first proposed for speech processing problems in 1990. It is a typical local regression network (global feed for ward l ocal recurrent). Elman network can be seen as having a forward neural network of local memory unit and local feedback connections. Elman network has a multi-layer multilayer structure similar to the network. Its main structure is a feedforward connection, comprising an input layer, a hidden layer and output layer, which can be connected right learning correction feedback connected by a set of " structural" units, the output value of the memory for the previous time, which connection weights are fixed. In such a network, in addition to ordinary hidden layer, there is a special hidden layer, called an associative layer (or contact layer unit) this layer receives feedback signals the hidden layer, each hidden layer node has an associated layer node corresponding connection. The role of the associated layer is fo)
- 2015-03-26 22:36:26下载
- 积分：1
