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Floyd
Floyd算法,对研究通信网性能分析很有帮助(Floyd algorithm, the study of communication network performance analysis very helpful)
- 2008-05-31 01:02:30下载
- 积分：1
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beamforming
阵列信号中常用的CBF、MVDR等波束形成算法的编写与基本性能分析(Array signal CBF, MVDR beamforming algorithm to write basic performance analysis)
- 2013-04-08 09:40:03下载
- 积分：1
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SA_TSP
the famous problem of travel salesman problem..one of the solutions
- 2010-01-28 22:56:23下载
- 积分：1
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DPsearch
Fast search for Dirichlet process mixture models (This code implements the search algorithms (modulo a few minor changes) described in the Fast search for DPMMs paper at AI-Stats 2007. It should work out of the box with a reasonably recent version of matlab. Currently the code only contains the Dirichlet/Multinomial case, but the Gaussian case can be hacked in in about 5 minutes.)
- 2014-01-18 22:11:58下载
- 积分：1
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6
说明： 继续上次传的简单遗传算法，本次加入啦测试部分。(Continue to the last mass of the simple genetic algorithm, to join you in this part of the test.)
- 2009-04-22 00:18:59下载
- 积分：1
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BA_KR_30_60-3_KR_C4_en.pdf
User manual of Kuka robot KR-30_60-3_KRC4
- 2015-02-12 00:52:49下载
- 积分：1
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p1
说明： OPTIMIZATION IN MATLAB
- 2015-02-26 19:08:05下载
- 积分：1
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GUI_2
GUI_2 Explore simple string manipulation.
Pushing the pushbutton adds to the string elements of a listbox. The
added string can be chosen by the user through an editbox.
- 2014-12-05 03:10:54下载
- 积分：1
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l1ioftb2
该算法非常适用于正系统、正切换系统等仿真(NUMERICAL SIMULATION FOR POSITIVE SYSTEMS and positive switched system)
- 2018-12-24 16:10:25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
