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TSP_2OPT_Greedy
2opt metaheuristic algorithm greedy
- 2010-11-21 13:27:09下载
- 积分：1
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kdvequationsimulation
％模拟偏微分方程kdv方程的水波。
％通过修改已可以用来模拟其他的如KP方程等。( Simulation of partial differential equations of the wave KdV equation. By way of an amendment can be used to simulate the other, such as the KP equation.)
- 2007-01-30 13:04:22下载
- 积分：1
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HEED
无线传感器网的HEED协议的实现。基于matlab。。(Wireless sensor networks HEED protocol implementation. Based on matlab. .)
- 2010-01-20 13:06:07下载
- 积分：1
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GUI
对一段声音进行高通低通和带通滤波 ，观察其波形，滤波频率可选择(A sound of high-pass low-pass and band-pass filter, and observe the waveform, the filter frequency selectable)
- 2012-04-07 16:59:18下载
- 积分：1
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calculate_farfield
计算天线阵列远场方向图，支持各种幅度加权，相位加权，可自行指定阵元方向图(calculate the farfield of an antenna array with various degrees of freedom)
- 2013-12-24 09:40:07下载
- 积分：1
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mskxx
msk 信号的正交调制一比特查分解调，并且画出时域频域波形(MSK orthogonal modulation signal a bit check grade demodulation, and draw the time domain frequency domain waveform)
- 2012-06-02 14:33:33下载
- 积分：1
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Genetic-Algorithm
本遗传算法程序已经调试修改过，有利于初学者上手，如果有不懂，可以参考附带的文献。(The genetic algorithm has been modified to debug, help beginners get started, if you do not understand, you can refer to the accompanying literature.)
- 2014-01-16 11:11:07下载
- 积分：1
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Multiset
A collection that supports order-independent equality, like Set, but may have duplicate elements.
- 2014-05-21 11:19:04下载
- 积分：1
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raodi
用matlab实现的固体模型，绕地球飞行的活动物体。(Using matlab realize solid model, the activities around the world flying objects.)
- 2008-03-22 17:18:06下载
- 积分：1
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stprtool
统计模式识别工具箱（Statistical Pattern Recognition Toolbox）包含：
1，Analysis of linear discriminant function
2，Feature extraction: Linear Discriminant Analysis
3，Probability distribution estimation and clustering
4，Support Vector and other Kernel Machines(
This section should give the reader a quick overview of the methods implemented in
STPRtool.
• Analysis of linear discriminant function: Perceptron algorithm and multiclass
modification. Kozinec’s algorithm. Fisher Linear Discriminant. A collection
of known algorithms solving the Generalized Anderson’s Task.
• Feature extraction: Linear Discriminant Analysis. Principal Component Analysis
(PCA). Kernel PCA. Greedy Kernel PCA. Generalized Discriminant Analysis.
• Probability distribution estimation and clustering: Gaussian Mixture
Models. Expectation-Maximization algorithm. Minimax probability estimation.
K-means clustering.
• Support Vector and other Kernel Machines: Sequential Minimal Optimizer
(SMO). Matlab Optimization toolbox based algorithms. Interface to the
SVMlight software. Decomposition approaches to train the Multi-class SVM classifiers.
Multi-class BSVM formulation trained by Kozinec’s algorithm, Mitchell-
Demyanov-Molozenov algorithm )
- 2009-03-13 17:03:40下载
- 积分：1
