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SVM
线性SVM分类，数据已给出，代码很详尽哈(Linear SVM classification, data has been given, the code is very detailed and Kazakhstan)
- 2011-05-04 20:26:51下载
- 积分：1
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AsyLnCPSO
matlab 最优化算法 matlab 最优化算法matlab 最优化算法(matlab zui you hua suan fa zui you hua suan fa )
- 2012-03-28 14:54:24下载
- 积分：1
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PdandPf
最大化频谱接入机会的能量检测方法的研究---认知无线电(Access to opportunities to maximize the energy spectrum detection of cognitive radio---)
- 2010-06-02 22:24:53下载
- 积分：1
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hmmtrain
隐马尔可夫模型参数的极大似然估计,用来求解HMM的第三个问题(HMM maximum likelihood parameter estimates used to solve the third problem HMM)
- 2014-02-24 23:31:12下载
- 积分：1
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leach-c
Leach-c , Sensor network routing protocol.
- 2010-11-08 06:45:41下载
- 积分：1
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homotest_1
this is the matlab code for homomorphic filtering...
- 2013-05-17 22:38:18下载
- 积分：1
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Final-Coding
ebcot algorith with arithmetic coding
- 2014-02-25 15:10:21下载
- 积分：1
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matlab
三相并网逆变器下的LCL滤波器的谐波分析
给出逆变器输出电压和网侧电流的各次谐波表达式及其所占基波分量。
(lcl lcl lcl lcl)
- 2016-08-09 22:57:16下载
- 积分：1
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Dijkstra_arithmetic
Dijkstra算法，在通信过程非常重要的一个算法，这是它的MATLAB仿真程序。(Dijkstra algorithm, the communication process is very important algorithm, which is its MATLAB simulation program.)
- 2010-09-09 22:04:44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
