-
RLS-MSEsim_MsePred
calculating MSE simulation and MSE Prediction
- 2009-05-07 20:58:35下载
- 积分：1
-
optical-image-processing-with-matlab
结合物理光学、几何光学原理，通过matlab对光学中基本的光学现象进行了模拟(Physical optics, geometrical optics principle matlab optics basic optical phenomena are simulated)
- 2013-05-17 17:06:53下载
- 积分：1
-
CMAC
小脑模型是一种表达复杂非线性函数的表格查询自适应神经网络，此列例举了用于非线性函数逼近(CMAC is a complex nonlinear function of the expression of the form query adaptive neural network, this column cites for nonlinear function approximation)
- 2010-06-22 16:03:38下载
- 积分：1
-
GroupSparseBox_V3
Conjugate gradient method
- 2011-06-05 01:56:02下载
- 积分：1
-
Svpwm
永磁同步电动机的空间矢量控制simulink源代码(Permanent magnet synchronous motor with space vector control simulink source code)
- 2009-02-15 23:17:55下载
- 积分：1
-
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
-
td1
tdoa. wsn. time difference of arrival simulation.
- 2013-11-08 15:31:34下载
- 积分：1
-
gkc
包括最小二乘法、SVM、神经网络、1_k近邻法,包括调制，解调，信噪比计算，最小均方误差（MMSE）的算法，一种流形学习算法（很好用），D-S证据理论数据融合，单径或多径瑞利衰落信道仿真，利用贝叶斯原理估计混合logit模型的参数。( Including the least squares method, the SVM, neural networks, 1 _k neighbor method, Includes the modulation, demodulation, signal to noise ratio calculation, Minimum mean square error (MMSE) algorithm, A fluid manifold learning algorithm (good use), D-S evidence theory data fusion, Single path or multipath Rayleigh fading channel simulation, Bayesian parameter estimation principle mixed logit model.)
- 2016-04-14 15:09:05下载
- 积分：1
-
analysis
说明： 几个关于matlab数值分析的源程序，跟大家交流学习一下！(Several numerical analysis on the matlab source, learn about the exchange with you!)
- 2011-03-13 13:59:46下载
- 积分：1
-
human.m
用于场地污染土壤、地下水等环境介质中各类污染物对当地居民的健康风险评价(Health Risk Assessment for the site contaminated soil, groundwater and other environmental media of various pollutants on the local residents)
- 2012-03-25 13:39:25下载
- 积分：1
