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SOM
this is simple sample of SOM & modified SOM (mSOM) neural network.
main file : SOM.m
- 2011-01-24 00:55:54下载
- 积分：1
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Additive.m
计算无线通信网络的效用值。采用s型函数，具备2个可调参数，分别控制中值和弹性。(The calculation of the wireless communication network utility value. S function, with two adjustable parameters, respectively, to control the value and flexibility.)
- 2012-04-11 09:28:31下载
- 积分：1
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12
说明： 一段用来做数值计算的代码，主要是做的数值模拟，用来模拟流线形态的代码()
- 2011-06-17 11:35:01下载
- 积分：1
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data_in_two_text
使用MATLAB打开TXT文件，并且用文件里面的数据画图(Open the TXT file using MATLAB, and use the data inside the drawing file)
- 2011-10-28 13:15:27下载
- 积分：1
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fd2d_3.2
二维情况下用ＦＤＴＤ方法模拟电磁波的传播情况，加入了理想匹配层，用Ｃ和MATLAB混合编程，信号源是高斯脉冲(Two-dimensional case with the FDTD simulation of electromagnetic wave propagation, no additional absorbing boundary condition, mixed with the C and MATLAB programming, the signal source is a Gaussian pulse)
- 2011-05-14 10:25:44下载
- 积分：1
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matlab_files
programer test is peogramming
- 2012-02-03 19:20:04下载
- 积分：1
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MATLABFinancialDerivativesToolbox3UserGuide
matlab fiancial toolbox
- 2010-11-11 10:18:56下载
- 积分：1
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PDE
本工具包给出了PDE常见的求解方法程序。PDE数值求解应用相当广泛。(The kit gives the common method for solving PDE program. Numerical Solution of PDE has been widely used.)
- 2010-11-24 10:33:18下载
- 积分：1
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Phase-Only-Correlation
phase only correlation
- 2012-08-16 03:05:31下载
- 积分：1
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anp
NP是美国匹兹堡大学的T.L.Saaty 教授于1996年提出了一种适应非独立的递阶层次结构的决策方法，它是在网络分析法（AHP）基础上发展而形成的一种新的实用决策方法。其关键步骤有以下几个：
1 确定因素，并建立网络层和控制层模型。
2 创建比较矩阵。
3 按照指标类型针对每列进行规范化。
4 求出每个比较矩阵的最大特征值和对应的特征向量。
5 一致性检验。如果不满足，则调整相应的比较矩阵中的元素。
6 将各个特征向量单位化(归一化)，组成判断矩阵。
7 将控制层的判断矩阵和网络层的判断矩阵相乘，得到加权超矩阵。
8 将加权超矩阵单位化(归一化)，求其K次幂收敛时的矩阵。其中第j列就是网络层中各元素对于元素j的极限排序向量。
(NP is a professor at the University of Pittsburgh TLSaaty presented in 1996, an adaptation of non-independent Hierarchy of decision-making method, which is the analytic network process (AHP) formed on the basis of the development of a new and practical decision-making method . The key steps are the following:
A determining factor, and a network layer and control layer model.
2 create a comparison matrix.
For each of the three types of indicators in accordance with normalized columns.
4 find the maximum for each comparison matrix eigenvalue and the corresponding eigenvectors.
5 consistency test. If not satisfied, then the comparison to adjust the corresponding matrix elements.
6 will each feature vector units of (normalized), to determine the composition of matrix.
7 to determine the control layer and network layer to determine matrix matrix multiplication, to be weighted super-matrix.
8 of the weighted super-matrix units of (normalized), seeking the powe)
- 2010-01-28 09:36:45下载
- 积分：1
