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GA
说明: 遗传算法在参数优化中的应用,用来选择最优的参数值(Application of Genetic Algorithm optimization parameters used to the optimal parameter values)
- 2015-01-04 15:58:55下载
- 积分:1
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multiagent
多智能体系统的仿真适合学习参考(simulations of mult-agent systems for studying or referencing)
- 2018-01-12 10:10:57下载
- 积分:1
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low_pass_butterworth
an butterworth lowpass filter
- 2010-06-24 21:16:03下载
- 积分:1
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rscode_AWGN_MQAM
RS编码的simulink 仿真,在ANGW条件下1(RS coding simulink simulation conditions in ANGW 1)
- 2010-10-08 22:08:58下载
- 积分:1
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Desktop
傅里叶级数的计算方法,通过matlab变成自动计算所有傅里叶级数的参数值。(The method of calculation of the Fourier series, through matlab becomes automatically calculate the parameter values of all Fourier series.)
- 2013-01-27 22:07:51下载
- 积分:1
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GA
简单遗传算法MATLAB实现,详细的介绍了简单遗传算法的实现过程,并以一个简单的函数优化作为案例说明了其应用。但是由于该测试函数过于简单,在实际的应用过程中,还需要对相关参数进行调整,使其效率得到更大的提高。(Simple genetic algorithm based on MATLAB realize, describes in detail the process of simple genetic algorithm, and a simple function optimization as a case illustrate its application. However, since the test function is too simple, in the actual application process, the relevant parameters need to be adjusted to greater increase efficiency.)
- 2013-09-05 16:52:07下载
- 积分:1
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35246565Adaboost_LPR_Matlab_080910
adaboost工具箱,可以运行,初学者过来看看。(adaboost toolbox, you can run, beginners come to see.)
- 2013-10-16 10:30:03下载
- 积分:1
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svm
支持向量机,是比较金典的libsvm,在各种分类计算中应该很实用(Support vector machine (SVM), is a valuable libsvm, should be very useful in various classification calculation)
- 2015-04-15 13:40:09下载
- 积分:1
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zhaoxiaopu
位置指令为幅值为1.0的阶跃信号,r(k)=1.0。网络结构为1-4-1,高斯函数的参数值取Cj=[-2 -1 1 2]T ,B=[0.5 0.5 0.5 0.5]T 。
网络权值学习参数为η=0.30,α=0.05 。PID控制各参数的初RBF网络控制,被控对象为G(s)=
取采样时间为1ms,采用Z变换进行离散化,离散化后的被控对象为
y(k)=-den(2)*y(k-1)-den(3)*y(k-2)+num(2)*u(k-1)+num(3)*u(k-2)
始值为,kp=20, kd=0.3, ki=0.1。
(Position command for the step signal amplitude of 1.0, r (k) = 1.0. The network structure is 1-4-1, the Gaussian function parameters taken Cj = [-2-1 1 2] T, B = [0.5 0.5 0.5 0.5] T. Weight learning parameter η = 0.30, α = 0.05. PID control parameters at the beginning of each RBF network control, the controlled object is G (s) = take the sampling time is 1ms, using the Z transform discrete, discretized controlled object is y (k) =-den (2)* y (k-1)-den (3)* y (k-2)+num (2)* u (k-1)+num (3)* u (k-2) initial value, kp = 20, kd = 0.3, ki = 0.1.)
- 2013-07-22 21:20:28下载
- 积分:1
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MISCELLANEOUS
This software may be used for non-commercial purposes only, so long as this copyright notice is
reproduced with each such copy made.
The software in this folder focuses on the computations associated with general type-2 FLSs.
- 2013-12-19 15:52:47下载
- 积分:1