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2d-logistic-regression-demo
2d logistic regression demo
- 2014-02-20 12:04:00下载
- 积分:1
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Rayleighfadingchannelmodelandsimulation
Rayleigh衰落信道仿真 多径与单径,多普勒平移(Rayleigh fading channel model and simulation:Rayleigh_Doppler_singlePath, Rayleigh_Doppler_multiPath)
- 2020-12-26 15:39:03下载
- 积分:1
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Americanoption-binary-pricing
用于无红利的美式看跌期权定价,参数依次为(现在股价,协议价格,无风险利率,波动率,期限,二叉树步数) (No dividend for the American put option pricing parameters were (now price, agreed price, risk-free interest rate, volatility, duration, binary steps))
- 2011-06-29 02:34:25下载
- 积分:1
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animMPWPresidual
matlab code for averaging data time series
- 2011-11-16 02:11:21下载
- 积分:1
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montecarloOFDM
说明: 这是个OFDM系统的算法,内部包含同步,信道估计等,而且用蒙特卡洛方法进行仿真分析。(This is an algorithm for OFDM systems, internal includes synchronization, channel estimation, and simulation analysis using the Monte Carlo method.)
- 2010-03-28 12:18:08下载
- 积分:1
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bianyuanjiance
说明: 程序以MATLAB为工具对图像进行边缘检测(bianyuanjiance)
- 2010-03-16 16:24:11下载
- 积分:1
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BPNeuralNetwork
说明: BP神经网络(主要用于函数拟合与模式分类)Matlab的示例程序(BP neural network (the main function for the fitting and pattern classification) Matlab sample program)
- 2021-04-19 22:58:51下载
- 积分:1
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radar
雷达信号处理领域入门与提高的好资料,适合于考前复习与项目使用,对很多概念有深入讲解,易于理解(A good data entry field of radar signal processing and improve the exam review, suitable for use with the project, there are many in-depth explanation of concept, easy to understand)
- 2014-10-07 21:09:18下载
- 积分:1
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psat-2.1.8-mat
PSAT software for analysis power system
- 2013-10-06 09:03:07下载
- 积分:1
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matlab
聚类算法,不是分类算法。分类算法是给一个数据,然后判断这个数据属于已分好的类中的具体哪一类。聚类算法是给一大堆原始数据,然后通过算法将其中具有相似特征的数据聚为一类。这里的k-means聚类,是事先给出原始数据所含的类数,然后将含有相似特征的数据聚为一个类中。所有资料中还是Andrew Ng介绍的明白。首先给出原始数据{x1,x2,...,xn},这些数据没有被标记的。初始化k个随机数据u1,u2,...,uk。这些xn和uk都是向量。根据下面两个公式迭代就能求出最终所有的u,这些u就是最终所有类的中心位置。(Clustering algorithm, not a classification algorithm. Classification algorithm is to give a figure, and then determine the data belonging to a specific class of good which category. Clustering algorithm is to give a lot of raw data, and then through the algorithm which has similar characteristics data together as a class. Here k-means clustering, is given in advance the number of classes contained in the raw data, then the data contain similar characteristics together as a class. All information presented in or Andrew Ng understand. Firstly, raw data {x1, x2, ..., xn}, the data is not labeled. K random initialization data u1, u2, ..., uk. These are the vectors xn and uk. According to the following two formulas can be obtained final iteration all u, u is the ultimate all these classes the center position.)
- 2014-02-18 09:59:02下载
- 积分:1