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SVD-TLS
基于SVD_TSL算法的ARMA模型的参数估计，欢迎下载(SVD_TSL algorithm based on parameter estimation of ARMA models, please download)
- 2020-10-28 02:39:58下载
- 积分：1
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tools
neural network tools
- 2014-11-29 06:24:55下载
- 积分：1
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ga-tool
基于matlab的关于遗传算法的一些重要的函数的m文件，供读者参考
(Based on some of the important matlab m file on genetic algorithm function for readers reference)
- 2013-12-23 14:16:03下载
- 积分：1
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SingleInvertedPendulum
:运用牛顿动力学方法对单级倒立摆系统进行了数学建模,并对基于经典控制理论的PID控制方
法、基于最优控制理论的LQR控制方法,以及基于模糊控制理论的模糊控制方法进行了仿真对比分析
研究,其分析结果对该方向的研究具有理论指导意义(: Application of Newton)
- 2007-08-27 10:47:22下载
- 积分：1
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K-meanCluster
How the K-mean Cluster work
Step 1. Begin with a decision the value of k = number of clusters
Step 2. Put any initial partition that classifies the data into k clusters. You may assign the training samples randomly, or systematically as the following:
Take the first k training sample as single-element clusters
Assign each of the remaining (N-k) training sample to the cluster with the nearest centroid. After each assignment, recomputed the centroid of the gaining cluster.
Step 3 . Take each sample in sequence and compute its distance from the centroid of each of the clusters. If a sample is not currently in the cluster with the closest centroid, switch this sample to that cluster and update the centroid of the cluster gaining the new sample and the cluster losing the sample.
Step 4 . Repeat step 3 until convergence is achieved, that is until a pass through the training sample causes no new assignments. (How the K-mean Cluster workStep 1. Begin with a decision the value of k = number of clusters Step 2. Put any initial partition that classifies the data into k clusters. You may assign the training samples randomly, or systematically as the following: Take the first k training sample as single-element clusters Assign each of the remaining (Nk) training sample to the cluster with the nearest centroid. After each assignment, recomputed the centroid of the gaining cluster. Step 3. Take each sample in sequence and compute its distance from the centroid of each of the clusters. If a sample is not currently in the cluster with the closest centroid, switch this sample to that cluster and update the centroid of the cluster gaining the new sample and the cluster losing the sample. Step 4. Repeat step 3 until convergence is achieved, that is until a pass through the training sample causes no new assignments.)
- 2007-11-15 01:49:03下载
- 积分：1
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PSO
This akgorithm discribes particle swarm optimization
- 2012-01-14 23:57:26下载
- 积分：1
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untitledmufti
thanx u gav me a nice option to upload and take models
- 2015-04-02 18:00:21下载
- 积分：1
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stft_timefreq_complexSignal
短时傅立叶变换测频，可对复信号处理。界面设计好，用户交互方式编程。(STFT frequency measurement can be complex signal processing. Interface design, the user interactively programming.)
- 2008-12-24 16:10:20下载
- 积分：1
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spfirst
this support file can be used in matlab by copying it to the current working directory. using this u can access commands like zvect etc.
- 2009-11-21 19:54:35下载
- 积分：1
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zf_mmse_junheng
说明： mimo下行的线性预编码，分别基于ZF准则和MMSE准则。(mimo downlink linear precoding, respectively, based on ZF criteria and MMSE criterion.)
- 2009-08-26 14:20:26下载
- 积分：1
