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BGAR
This is my Master Thesis for Association Rule Mining With Binary Genetic, Enjoy it
- 2014-12-05 03:26:59下载
- 积分：1
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xitongbianshi
贝叶斯估计，最小二乘法，递推最小二乘法，梯度校正法，增广最小二乘法进行系统辨识(Bayesian estimation, least squares, recursive least squares method, the gradient correction method, the augmented least squares method for system identification)
- 2012-01-04 12:37:12下载
- 积分：1
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files
教材《matlab与通信仿真》中所有例程的matlab程序包(Materials " matlab and communication simulation," in the matlab package for all routine)
- 2010-10-13 03:54:21下载
- 积分：1
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ssaxx
Gillespie Stochastic Simulation Algorithm
- 2013-01-05 04:11:01下载
- 积分：1
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多种群遗传算法的函数优化算法
说明： 多种群遗传算法的函数优化算法的MATLAB实现，有详细注释与案例解析(The MATLAB implementation of the function optimization algorithm of the multi-group genetic algorithm, with detailed notes and case analysis)
- 2020-09-22 08:04:35下载
- 积分：1
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ofdm+bpsksimulink
说明： ofdm的bpsk实现，可以在修改后运用与mimo或者vmimo等(realize the BPSK OFDM, can be modified to use with vmimo such as MIMO or)
- 2008-09-29 08:58:15下载
- 积分：1
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histnorm
HISTNORM Histogram normalized
[...] = HISTNORM(...) works like HIST, but the frequency is normalized
so that area sum is 1.
Bonus usage!
[...] = HISTNORM(..., plot ) plots and returns the output arguments.
Be sure plot is the last argument.
Example:
data = randn (10000, 1)
[xo,no] = histnorm(data, 101, plot )
hold on
plot (no, normpdf(no), r )
hold off
See also: HIST.
- 2011-11-18 21:12:29下载
- 积分：1
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hysteresis_twolevels
This file is hysterisis two level controller
- 2009-02-14 18:27:00下载
- 积分：1
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RBFlw2
这是matlabdaima,用来计算RBF输出值很有效(This is matlabdaima, used to calculate the RBF output is valid)
- 2010-09-13 15:49:20下载
- 积分：1
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Fcm
FCM Data set clustering using fuzzy c-means clustering.
[CENTER, U, OBJ_FCN] = FCM(DATA, N_CLUSTER) finds N_CLUSTER number of
clusters in the data set DATA. DATA is size M-by-N, where M is the number of
data points and N is the number of coordinates for each data point. The
coordinates for each cluster center are returned in the rows of the matrix
CENTER. The membership function matrix U contains the grade of membership of
each DATA point in each cluster. The values 0 and 1 indicate no membership
and full membership respectively. Grades between 0 and 1 indicate that the
data point has partial membership in a cluster. At each iteration, an
objective function is minimized to find the best location for the clusters
and its values are returned in OBJ_FCN.
- 2013-04-21 07:30:57下载
- 积分：1
