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datasimu
R-D算法 产生数据的m文件 是最简单的情况 不弯曲不走动(R-D algorithm to generate m file data)
- 2013-12-04 22:01:33下载
- 积分：1
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2004-03-22-CGO-LLVM-Presentation
LLVM: A Compilation Framework for Lifelong Program Analysis & Transformation. 2004 International Symposium on
Code Generation and Optimization (CGO’04)
- 2014-01-30 11:52:30下载
- 积分：1
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others
一些NFC18092的规范资料，看不懂英文的看这里！不过只有一篇中文翻译，其他还是英文的： Ecma-340.pdf interface.pdf ISO+18092标准（中文）.pdf Publicly Available Standards.pdf (Some NFC18092 specification information, see here do not understand English! However, only one Chinese, the other or English: Ecma-340.pdf interface.pdf ISO+18092 standard (Chinese) .pdf Publicly Available Standards.pdf )
- 2016-10-22 15:27:10下载
- 积分：1
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DANZHANsarBP
基于合成孔径雷达sar单站式的成像仿真BP算法(Monostatic SAR imaging simulation rd algorithm
)
- 2017-04-11 10:44:44下载
- 积分：1
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DLBP
一种改进的BP算法，基于动量梯度的，非常经典，实际可用(An improved BP algorithm based on the momentum gradient, very classic, the actual available)
- 2012-05-18 22:17:40下载
- 积分：1
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OuLaFaGaiJin
这是MATLAB的界面—GUI的几个例子，直接打开就能用。(This is the MATLAB interface- GUI examples, can be used to open directly.)
- 2007-04-23 17:59:09下载
- 积分：1
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New-Fuzzy-nNetwork-design-using-Genetic-Algorithm
In this paper a Conventional PD Controller and Fuzzy Neural Controller for trajectory tracking of mobile robot
platform is presented. Using computed torque method is given input- torque on mobile robot wheels. The
locomotion control structure is based on integration of kinematics and dynamics model of mobile robot base.
The proposed Control scheme and Fuzzy Neural Algorithm could be useful for building an autonomous non-destructive testing system based on wheeled mobile robot. Fuzzy Neural Network-Rule base, is optimized using
Genetic Algorithm. Simulations are done using Matlab software.
Key words:Mobile Robot, Conventional, Fuzzy Logic, Neural Network, Genetic Algorithm, trajectory tracking,
- 2013-11-19 14:52:08下载
- 积分：1
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R303a_attendance
Finger print code for attendence system
- 2014-02-05 16:04:19下载
- 积分：1
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HHT
把HHT和神经网络结合起来，识别出是否故障。对于HHT变换，这里用到的是它的IMF分解，然后用能量理论来判别哪些模组是虚假分量，哪些是是真实分量。对于EMD分解后的谱进行特征提取 ，利用的理论基础就是模糊熵。计算出真实 分量的模糊熵，作为输入层；输出层为两个神经元，为0（故障 ）1（正常 （正常 ）判别该信号是否出现故障。(The combination of HHT and neural network to identify whether the fault. For the HHT transform, here is the use of its IMF decomposition, and then use the energy theory to determine which module is false, which is true component. The theoretical basis for the feature extraction of the spectrum after EMD decomposition is fuzzy entropy. The fuzzy entropy of the real component is calculated, as the input layer, the output layer is two neurons, which is 0 (fault) 1 (normal) to determine whether the signal is faulty.)
- 2016-03-09 12:58:20下载
- 积分：1
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WiMAXNetworks
A good book on WiMAX networks.
- 2010-11-24 03:41:31下载
- 积分：1
