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SRC
稀疏表示分类算法在ORL人脸库上的实验，参考文章：
Wright J, Yang A Y, Ganesh A, et al. Robust face recognition via sparse representation[J]. Pattern Analysis and Machine Intelligence, IEEE Transactions on, 2009, 31(2): 210-227.
(Sparse representation classification algorithms on ORL face experiments, refer to the article:
Wright J, Yang AY, Ganesh A, et al Robust face recognition via sparse representation [J] Pattern Analysis and Machine Intelligence, IEEE Transactions on, 2009, 31 (2):.. 210-227.)
- 2014-10-28 21:15:43下载
- 积分：1
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Minimax
A simple implementation in C language of the Minimax algorithm.
/! Code is commented in french.
- 2015-04-07 05:47:48下载
- 积分：1
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mech_stewart_trajectory123
六自由度并联机器人运行轨迹与结果仿真，可以自己改变机器人尺寸大小(6 degree of freedom of parallel robot,simulation)
- 2012-02-11 09:30:02下载
- 积分：1
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Heat-Transfer-FEM-Package-master
有限元的热代码，希望大家下载学习，分享给大家(fenite elment method thremo code to everyone study)
- 2020-06-20 04:00:02下载
- 积分：1
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dtsspMatlabAll
This is transfer function for matlab.
- 2009-03-19 05:06:37下载
- 积分：1
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partial-equations
基于MATLAB环境下偏微分方程组的求解对应的代码 简单明了 便于初学者学习使用(Based on the MATLAB environment to solve partial differential equations corresponding code is simple for beginners to learn to use)
- 2013-09-14 23:52:16下载
- 积分：1
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Advanced-PID-control-and-MATLAB-
本文件详细介绍了先进PID控制技术的发展，并附有matlab仿真程序。(This document details the development of advanced PID control technology, together with matlab simulation program.)
- 2011-11-18 20:03:59下载
- 积分：1
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Matlab-Trans-C
在matlab下如何调用c语言编写的程序，包括编译器的选择和设置(In matlab how to call the c language program, including the compiler options and settings)
- 2013-11-04 16:11:14下载
- 积分：1
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MATLAB实现组对象的整体几何变换
说明： MATLAB源程序代码分享：MATLAB实现组对象的整体几何变换(Matlab Source Code Sharing: Matlab Group object to achieve the overall geometric transformation)
- 2020-03-16 11:48:38下载
- 积分：1
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PSO-and-PSOEM-simulation
基于扩展记忆的粒子群优化算法（Particle Swarm Optimization based on memory）(This paper combines SVM with improved PSO (Particle Swarm Optimization with Extended Memory, PSOEM) and then builds PSOEM-SVM forecasting model. The PSOEM searches the solution space intelligently and finds out the best one. Parameters in SVM are optimized by PSOEM, which implements automation of the parameter optimization avoiding the blindness of selecting parameters. Not only does it utilize the generalization feature of SVM, but enhance the global search ability of PSO (Particle Swarm Optimization). Thus, both accuracy and speed are increased at the same time.)
- 2012-04-29 20:47:48下载
- 积分：1
