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logistic
matlab实现logistic回归 利用牛顿迭代的方法得到最后的回归参数(matlab realize logistic regression using Newton iteration method to get the final regression parameters)
- 2013-10-29 19:28:38下载
- 积分:1
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fdv54
code to face detection
- 2010-12-30 13:48:03下载
- 积分:1
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ratchet
计算粒子流在在反馈下驰誉时间与粒子流的关系(Particle flow in the calculation under the world-class reputation in the feedback relationship between time and the particle flow)
- 2010-02-27 18:29:53下载
- 积分:1
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bch
BCH编译码
彼得森译码
MATLAB译码 彼得森译码function(bch decode
peterson decode)
- 2012-06-14 11:40:25下载
- 积分:1
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SVMcgForClass
svm参数优化方法,网格算法,可修改迭代次数等参数(svm parameter optimization method, the mesh algorithms can modify parameters such as the number of iterations)
- 2013-12-13 17:15:13下载
- 积分:1
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ekffffff4
说明: 实现组合导航仿真,扩展卡尔曼滤波算法,比较简洁(Realization of Integrated Navigation Simulation)
- 2019-04-21 23:28:19下载
- 积分:1
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Short-term-traffic
小波神经网络的时间序列预测-短时交通流量预测,MATLAB的经典算法(Wavelet Neural Network Time Series Prediction- term traffic flow forecasting, MATLAB classical algorithm)
- 2013-10-20 00:00:06下载
- 积分:1
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TSP
根据混合粒子群算法原理,在MATLAB中编程实现基于粒子群算法的TSP搜索算法,给出了适应度函数,粒子初始化,交叉操作,变异操作,最后给出了仿真结果。有图可以看出,混合粒子群算法能够较快找到连接各个城市的最优路径,谢谢,希望能够给大家带来帮助。(According to the principle of hybrid particle swarm algorithm, programmed in MATLAB Based on Particle Swarm TSP search algorithm given fitness function, particle initialization, crossover and mutation operation. Finally, the simulation results. There can be seen, hybrid particle swarm algorithm can quickly find the optimal path to connect each city, thank you, hope to be able to give us help.)
- 2021-04-27 15:58:44下载
- 积分:1
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guangxueganshe
说明: 光学干涉,包括单缝干涉,多缝干涉等多种干涉实验仿真代码,(Optical interferometry, including the single-slit interference, multi-slit interference experiment and other simulation codes,
)
- 2011-04-17 17:06:36下载
- 积分:1
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gold-sequence
m序列产生子函数
gold序列产生子函数
自相关函数和互相关函数计算子函数
调用子函数[s,k,pn]=m(c,b0)产生第二条m序列(function [Rm]=Rm(golda,goldb) 自相关函数和互相关函数计算子函数
N=11
n=2^N-1
Rm(1)=sum(golda.*goldb)/n
for k=1:n-1
Rm(k+1)=sum(golda.*circshift(goldb,[0,k]))/n
end
Rm )
- 2011-04-30 17:53:27下载
- 积分:1