-
CLPSO
说明： clpso,pso的改进版本，又名学习策略pso(clpso, pso improved version, also known as learning strategies pso)
- 2011-04-04 12:41:42下载
- 积分：1
-
MATLABGUI.rar
matlab_gui设计程序和相关程序开发，用于gui界面的设计(the process of matlab_gui)
- 2012-11-14 11:45:53下载
- 积分：1
-
chanthe1
channel estimation by ls algorithm
and calculating for BER and MSE
- 2010-09-18 23:37:21下载
- 积分：1
-
Matlabtoolbox
这是一本对MATLAB函数进行说明及运用MATLABDE 一些知识的书籍(This is one pairs of MATLAB function descriptions and the use of some knowledge of books MATLABDE)
- 2009-12-06 22:58:45下载
- 积分：1
-
CHAPTER1
先进PID控制及其MATLAB仿真程序的第一部分(Advanced PID control and its MATLAB simulation program the first part of)
- 2007-12-26 17:40:32下载
- 积分：1
-
Rony_exp_01_b
PID Design Method for DC Motor Speed Control
- 2009-11-18 06:43:15下载
- 积分：1
-
shuixiangshuiweimohukongzhi
水位水箱模糊控制，仿真效果好，可供模糊控制初学者学习。(Water tank fuzzy control, simulation results, and fuzzy control for beginners to learn.)
- 2013-09-07 10:36:29下载
- 积分：1
-
traindiffevol
TRAINDIFFEVOL(NET,Pd,Tl,Ai,Q,TS,VV) takes these inputs,
NET - Neural network.
Pd - Delayed input vectors.
Tl - Layer target vectors.
Ai - Initial input delay conditions.
Q - Batch size.
TS - Time steps.
VV - Either empty matrix [] or structure of validation vectors.
and returns,
NET - Trained network.
TR - Training record of various values over each epoch:
TR.epoch - Epoch number.
TR.perf - Training performance.
TR.vperf - Validation performance.
TR.tperf - Test performance.
TR.mu - Adaptive mu value.
- 2013-04-22 06:17:04下载
- 积分：1
-
r_xy741251
本代码包含了利用可行点标记求最佳匹配算法的MATLAB代码，求最小费用最大流算法的CiPLIF程序，还有利用遗传算法解决 beofPcI 问题的Matlab程序。非常适合初学MATLAB的朋友学习。(The code contains the use of feasible point mark for the best match algorithm MATLAB code, find the minimum cost maximum flow algorithm CiPLIF program, as well as the use of genetic algorithms to solve the problem beofPcI Matlab program. Very suitable for beginners to learn MATLAB friends.)
- 2016-01-18 23:11:20下载
- 积分：1
-
targettrackingusingkalman
The Kalman filter is an efficient recursive filter that estimates the state of a linear dynamic system from a series of noisy measurements. It is used in a wide range of engineering applications from radar to computer vision, and is an important topic in control theory and control systems engineering. Together with the linear-quadratic regulator (LQR), the Kalman filter solves the linear-quadratic-Gaussian control problem (LQG). The Kalman filter, the linear-quadratic regulator and the linear-quadratic-Gaussian controller are solutions to what probably are the most fundamental problems in control theory.
- 2009-05-07 21:40:51下载
- 积分：1
