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matlab
遗传算法经典例子matlab来实现-Matlab genetic algorithm to achieve a classic example of(Matlab genetic algorithm to achieve a classic example of)
- 2009-05-22 12:17:04下载
- 积分：1
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RBF_matlab
用MATLAB编写的RBF神经网络程序，能够逼近任意的非线性函数，可以处理系统内的难以解析的规律性.(Using MATLAB RBF neural network program that can approximate any nonlinear function that can handle difficult analytic regularity within the system.)
- 2014-03-29 20:30:38下载
- 积分：1
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shiyingduhanshu
蜂群算法计算适应度函数，它有利于初学者对人工蜂群算法的学习(Colony algorithm fitness function, it is conducive to beginners learning artificial bee colony algorithm)
- 2020-06-28 16:20:01下载
- 积分：1
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ant-colony-optimization
这是介绍基于蚁群优化算法的碎纸拼接的文章(This is to introduce ant colony optimization algorithm shredding stitching articles)
- 2013-09-13 16:36:32下载
- 积分：1
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a-noive-maximum-likelihood-estimation-for-lin
a noive maximum likelihood estimation for linear model by MLE
- 2015-02-16 09:44:18下载
- 积分：1
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ContemporaryCommunicationSystem-usingmatlab
约翰 G 普罗克斯的经典教材，个人认为是现今讲matlab最好的书籍！(John G Proulx‘s classic text, personal view of ，this is the best books about matlab!)
- 2010-11-21 22:36:19下载
- 积分：1
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LMS
主要完成LMS自适应均衡，谢谢大家的支持(Completed for LMS adaptive equalization)
- 2010-05-27 21:34:18下载
- 积分：1
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PVINVERTER
光伏并网逆变器电压电流双闭环，含有最大功率跟踪。(PV grid connected inverter voltage and current double closed loop, containing the maximum power tracking)
- 2016-05-02 23:05:05下载
- 积分：1
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HOS
这是关于高阶统计量的算法源程序，内容比较全面，大家可以认真看一看(This is on the higher-order statistics of the algorithm source code, content more comprehensive, we can seriously look at the)
- 2007-12-03 20:26:07下载
- 积分：1
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SVM
In this paper, we show how support vector machine (SVM) can be
employed as a powerful tool for $k$-nearest neighbor (kNN)
classifier. A novel multi-class dimensionality reduction approach,
Discriminant Analysis via Support Vectors (SVDA), is introduced by
using the SVM. The kernel mapping idea is used to derive the
non-linear version, Kernel Discriminant via Support Vectors (SVKD).
In SVDA, only support vectors are involved to obtain the
transformation matrix. Thus, the computational complexity can be
greatly reduced for kernel based feature extraction. Experiments
carried out on several standard databases show a clear improvement
on LDA-based recognition
- 2010-02-20 01:10:17下载
- 积分：1
