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upload
This is a test file that I created when learning matlab GUI
- 2009-09-06 23:43:15下载
- 积分：1
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untitled1
阿波罗卫星轨道的matlab仿真,可以实现轨道模拟(Apollo satellite orbit simulation)
- 2011-06-12 22:34:10下载
- 积分：1
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jacobi
3种jacobi迭代算法，即将Ax=b，转换为A=D-L-U，进而x=Bx+f(3 kinds of jacobi iterative algorithm, ie Ax = b, converted to A = DLU, and then x = Bx+ f)
- 2013-12-06 00:57:49下载
- 积分：1
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pca
C语言实现的主程序分析法PCA，实现降维处理(C language implementation of the main analysis PCA, achieve dimensionality reduction)
- 2021-04-22 11:08:48下载
- 积分：1
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wlan_11n_simulink
802.11n WLAN PHY
Simulation models of 802.11n (modified from 11a PHY model):
wlan/IEEE80211n.mdl(802.11n WLAN PHYSimulation models of 802.11n (modified from 11a PHY model): wlan/IEEE80211n.mdl)
- 2008-12-23 14:38:04下载
- 积分：1
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GAToolbox
MATLAB遗传算法工具包，内含标准遗传算法各函数及改进遗传算子的实现函数。(MATLAB genetic algorithm tool kit, containing the standard genetic algorithm to improve the function and genetic operators of the implementation function.)
- 2009-02-23 12:15:11下载
- 积分：1
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zifuchuan
说明： 求N个字符的最大公共子串，超高效率，希望能给大家带来帮助谢谢(Request N sub-character string of the largest public, high efficiency, We hope you help thank you)
- 2010-04-15 15:40:10下载
- 积分：1
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gentleboost
温柔的形变模型分类器和两个不同的weak-learners决定树桩和感知。
问题是进行多层次的one-vs-all策略(Gentle AdaBoost Classifier with two different weak-learners : Decision Stump and Perceptron.
Multi-class problem is performed with the one-vs-all strategy)
- 2012-04-23 13:26:08下载
- 积分：1
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xbb
一个小波包分解重构函数，用于振动信号的故障诊断(A wavelet packet decomposition and reconstruction functions for fault diagnosis of the vibration signal)
- 2013-04-14 09:37:05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
