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Desvirus
Traz de volta os arquivos ocultos e potegidos do sistema dentro de um diretorio especifico
- 2014-11-08 04:12:42下载
- 积分：1
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AHP
数学建模中的层次分析法，修改其中数据即可使用。(Mathematical modeling of the analytic hierarchy process, modify the data can be used.)
- 2013-05-15 12:46:15下载
- 积分：1
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scan-the-data
matlab实现浏览流体数据，欢迎大家一起探讨(matlab fluid data to achieve here, welcome to discuss)
- 2011-04-30 10:31:11下载
- 积分：1
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Illegal-E-Book-Collection
e book for probability and stochastic
- 2012-06-20 22:39:08下载
- 积分：1
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RBF
说明： rbf函数,包括rbfbuild rbftest rbf predict(rbf function rbf rbfbuild rbftest rbf predict)
- 2020-11-12 21:15:37下载
- 积分：1
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RS_DECODER_V3_0
reed solomon decoder(matlab codes)
- 2008-04-18 16:36:49下载
- 积分：1
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svd-tls
谐波恢复的ARMA建模算法(基于SVD-TLS)（张贤达《现代信号处理》）。当谐波信号为复谐波的时，该算法仍然适用。但该程序中没有给出具体的实现。(Harmonic Retrieval of ARMA modeling algorithm (based on the SVD-TLS) (Xian Tatsu Modern Signal Processing ). When the harmonic signal for the resumption of harmonics, the algorithm still applies. However, the procedure did not give a concrete realization.)
- 2008-06-24 10:20:31下载
- 积分：1
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matlab5.0study
关于matlab软件学习的电子书，包括怎样在matalab软件中实现统计计算和画图等。(Matlab software to learn about e-books, including how to matalab software to achieve statistical calculations and drawing and so on.)
- 2010-02-26 11:16:28下载
- 积分：1
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(HOSA)-Toolbox
MATLAB高阶谱分析信号处理工具箱(HOSA)(MATLAB Signal Processing Toolbox high-spectral analysis (HOSA))
- 2011-10-05 20:17:51下载
- 积分：1
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elm_example
极限学习机（extreme learning machine）ELM是一种简单易用、有效的单隐层前馈神经网络SLFNs学习算法。2006年由南洋理工大学黄广斌副教授提出。传统的神经网络学习算法（如BP算法）需要人为设置大量的网络训练参数，并且很容易产生局部最优解。极限学习机只需要设置网络的隐层节点个数，在算法执行过程中不需要调整网络的输入权值以及隐元的偏置，并且产生唯一的最优解，因此具有学习速度快且泛化性能好的优点。(Extreme Learning Machine (extreme learning machine) ELM is an easy-to-use and effective single hidden layer feedforward neural network the SLFNs learning algorithm. 2006 by the Nanyang Technological University Associate Professor Huang Guangbin. Traditional neural network learning algorithm (BP) artificial network training parameters, and it is easy to generate a local optimal solution. Extreme Learning Machine network only need to set the number of hidden nodes, the algorithm implementation process does not need to adjust the network input weights and hidden element of bias, and only optimal solution, so the learning speed and generalization good performance advantages.)
- 2013-03-29 13:05:47下载
- 积分：1
