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Matlab_Expermient_Guidence
河北大学matlab实验指导-郑晓昆 ，包含实验指导书内容和源代码，以及部分实验结果+图示(Hebei University, matlab experimental guidance- Zhengxiao Kun, including guide books content and source code, as well as some experimental results+ icon)
- 2013-10-31 19:11:18下载
- 积分：1
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psoPnn(optimize-the-learning-rate)
This code use a Particle swarm optimization algorithm.
and then optimize the learning rates of neural network.
used is JENKIN s gasro and makey dataset.
- 2015-01-14 13:43:29下载
- 积分：1
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FEM_capacitance
Program that calculates the capacitance between two plates using the Finite Element Method
- 2010-02-02 14:52:13下载
- 积分：1
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系统辨识源码
说明： 系统辨识与参数估计源代码。可以对一个未知模型做出估计。(system identification and parameter estimation source code. Can a model to estimate the unknown.)
- 2005-12-06 10:08:54下载
- 积分：1
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demodulation
cours demodulation. traitement de signal analogique
- 2010-11-30 07:00:41下载
- 积分：1
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contourlet
基于轮廓波的多聚焦图像融合，采用MATLAB语言(image fusion by contourlet)
- 2014-11-19 10:33:24下载
- 积分：1
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newlms
说明： 一种lms算法的matlab源程序，是word文本打开。(a LMS algorithm Matlab source, the text is word open.)
- 2006-05-10 21:36:58下载
- 积分：1
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kalmanbuzhou-matlab
详细解答kalman滤波的使用方法和步骤，给出其matlab相关示范代码(Detailed answers to the use of kalman filtering methods and procedures, given the associated sample code matlab)
- 2011-10-14 15:07:02下载
- 积分：1
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PSO_ANFIS
利用matlab将PSO算法用来优化神经模糊网络控制器，并对比PID控制器和模糊控制器的性能结果。(Matlab PSO algorithm is used to optimize the neuro-fuzzy network controller, and compare the performance results of the PID controller and fuzzy controller.)
- 2013-03-25 17:00:01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
