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FFT
说明： FFT的使用，说明了在MATLAB中FFT函数的使用方法，(The use of FFT, shows the FFT function in MATLAB to use,)
- 2010-04-03 10:35:44下载
- 积分：1
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MMMM
fuzzy sliding mode controle of dc motor
- 2010-11-29 22:43:07下载
- 积分：1
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huangjin
基于matlab环境的黄金分割法搜索寻优，主要为内置函数(Environment based on the golden section method matlab search optimization, the main built-in function
)
- 2011-12-28 13:37:46下载
- 积分：1
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steep
一个关于最速法的，matlab程序。经试验，效果很好。(A law on the most speed, matlab program. After testing, the effect is very good.)
- 2010-11-22 15:19:58下载
- 积分：1
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RealTimeViewer
Real time data viewer for stock (Matlab file)
- 2013-03-25 01:30:37下载
- 积分：1
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assignprob
solving assignment problem
- 2010-12-03 13:48:42下载
- 积分：1
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spatialPattern.m
Specific color noise generator (MatLab function)
- 2012-07-17 13:09:22下载
- 积分：1
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zitiaoxie
在自适应噪声对消中的，周期信号和噪声信号的分离，利用了噪声延时后的非相关性。(In the adaptive noise canceller, the periodic signal and the noise signal separation, the use of the noise delayed non-correlation.)
- 2013-03-10 19:10:19下载
- 积分：1
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MATLAB-function
本文件包含常见的一些matlab函数的用法和功能，便于初学者者使用。(This file contains some of the common usage and function of matlab functions, for beginners to use.)
- 2015-03-25 10:17:08下载
- 积分：1
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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
