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说明： 用MATLAB编写的，用人口迁移算法求函数的最大值。可运行。(Prepared using MATLAB, with population migration algorithm for the maximum value function. Can run.)
- 2008-09-12 17:26:58下载
- 积分：1
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sampencandApEn.m
sampencandApEn.m 为证明 样本熵 较 近似熵 更准确的程序
fast_ApEn1.m sampenc.m 为sampencandApEn.m的子程序(sampencandApEn.m sample entropy to prove more accurate than the approximate entropy procedure
3.fast_ApEn1.m sampenc.m subroutine is sampencandApEn.m)
- 2013-08-23 21:31:01下载
- 积分：1
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Matlab1ANNToolBar
一个神经网络的工具箱，用于M a t l a b中(A neural network toolbox for M atlab in)
- 2008-08-15 10:20:44下载
- 积分：1
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KARIMQPSK
This code simulates QPSK modulation on base band. This code has been written on Matlab and it will be very useful I think! :)
- 2013-12-05 06:59:52下载
- 积分：1
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mccdma
MC-CDMA各类多用户检测算法，比较全面，希望对大家有帮助(A program of MC-CDMA)
- 2011-12-16 21:21:45下载
- 积分：1
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jiaosulvpipei
捷联式惯性导航的角速率匹配，使用matlab语言编写(Strapdown inertial navigation of angular rate matching
)
- 2014-01-13 15:50:45下载
- 积分：1
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matlabdemo
说明： 使用matlab实现对目前流行的BP,DNN神经网络进行实现，并附有数据(Using matlab to implement BP and DNN neural networks with data)
- 2021-04-28 20:48:43下载
- 积分：1
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top99
说明： 经典99行matlab拓扑优化代码，值得学习(Topology optimization of classical 99-line matlab)
- 2019-09-29 11:59:48下载
- 积分：1
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Typical_commputational_methods_MATLAB
经典的MATLAB计算程序,包括插值拟合与规划,回归分析,绘图和解方程等,相当实用.(Classic MATLAB computer program, including the interpolation fitting and planning, regression analysis, mapping of reconciliation equation and so on, very useful.)
- 2009-09-21 01:59:57下载
- 积分：1
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TimeSeriesPredictionUsingSupportVectorRegressionNe
为了选择神经网络的最好结构以及增强模型的推广能力，提出一种自适应支持向量回归神经网络(SVR—NN)。SVR—NN 用支持向量回归(SVR)方法获得网络的初始结构和权值， 白适应地生
成网络隐层结点，然后用基于退火过程的鲁棒学习算法更新网络结点疹教和权 主。 SVR—NN有很
好的收敛性和鲁棒性，能抑制由于数据异常和参数选择不当所导致的“过拟合，’现象。将SVR—NN
应用到时间序列预测上。结果表明，SVR．NN预测模型能精确地预测混沌时间序列，具有很好的
理论和应用价值。(Abstract：To select the‘best’structure of the neural networks and enhance the generalization ability of models．a support
vector regression neural networks fSVR-NN)was proposed．Firstly，support vector regression approach was applied to
determine initial structure and initial weights of SVR．NN SO that the number of hidden layer nodes can be constructed
adaptively based on support vectors．Furthermore，an annealing robust learning algorithm was further presented to fine
tune the hidden node parameters and weights of SVR一ⅣM The adaptive SVR．NN has faSt convergence speed and robust
capability．and it can also suppress the ‘orerfitting’phenomena when the train data ncludes outliers．The adaptive
SVR．NN was then applied to time series prediction．Experimental results show that the adaptive SVR．ⅣⅣ can accurately
predict chaotic time series，and it iS valuable in both theory and application aspects．)
- 2010-01-21 21:20:26下载
- 积分：1
