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WaveletNeuralNetworkDiagnosticSource
小波神经网络诊断源程序,实现小波神经网络的matlab仿真(Source wavelet neural network diagnosis, wavelet neural network implementation of the matlab simulation)
- 2009-04-08 21:51:08下载
- 积分:1
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Simulation-based-on-MATLAB
基于MATLAB技术的滑动轴承油膜压力分布的模拟(Simulation based on MATLAB sliding bearing oil film pressure distribution)
- 2012-04-15 17:01:45下载
- 积分:1
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fisher-classify
很经典的fisher分类算法,可以用于对信号进行分类,非常好用!(Very classic fisher classification algorithm, and can be used to classify the signal, is very nice!)
- 2012-11-06 19:43:50下载
- 积分:1
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aa
用matlab仿真,用PID控制实现调速(matlab,PID controller)
- 2013-12-04 11:35:41下载
- 积分:1
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mas
this is simulation de mas
- 2011-05-01 20:50:02下载
- 积分:1
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IEEE80211a(1)
基于802.11的matlab仿真,IEEE的通信协议(Matlab simulation of 802.11-based communication protocol of the IEEE)
- 2012-05-22 16:48:35下载
- 积分:1
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knn1
K最邻近密度估计技术是一种分类方法,不是聚类方法。
不是最优方法,实践中比较流行。
通俗但不一定易懂的规则是:
1.计算待分类数据和不同类中每一个数据的距离(欧氏或马氏)。
2.选出最小的前K数据个距离,这里用到选择排序法。
3.对比这前K个距离,找出K个数据中包含最多的是那个类的数据,即为待分类数据所在的类。(K nearest neighbor density estimation is a classification method, not a clustering method.
It is not the best method, but it is popular in practice.
Popular but not necessarily understandable rule is:
1. calculate the distance between the data to be classified and the data in each other (Euclidean or Markov).
2. select the minimum distance from the previous K data, where the choice sorting method is used.
3. compare the previous K distances to find out which K data contains the most data of that class, that is, the class to which the data to be classified is located.)
- 2017-08-09 21:06:38下载
- 积分:1
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matlab MRMR和relieff特征选择方法
matlab MRMR和relieff特征选择方法,希望对大家有所帮助。(Matlab MRMR and ReliefF feature selection method, we hope to help everyone.)
- 2018-05-26 19:49:21下载
- 积分:1
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SPSO_eld
this is a matlab code for economic load dispatch solution using spso method.
- 2013-05-21 20:00:17下载
- 积分:1
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logistic回归分类器鸢尾花
说明: logistic回归,回归分析,logistic回归分类器,鸢尾花数据集(Logistic regression, regression analysis, logistic regression classifier, iris dataset)
- 2021-03-07 16:10:15下载
- 积分:1