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BP
说明: BP神经网络的设计实例(MATLAB编程) (BP neural network design example (MATLAB Programming))
- 2010-03-26 12:34:58下载
- 积分:1
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Diff_Loss
电波传播中的绕射分析,需要给出地面剖面貌一新模型(the diffraction loss of the radio propergation)
- 2011-09-06 16:33:26下载
- 积分:1
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matlab
说明: 使用MATLAB语言求出两电荷间电势与电场的情况(Calculated using the MATLAB language between the two electric potential and electric charge of the situation)
- 2011-03-24 09:22:40下载
- 积分:1
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03071155prony
matlab变成实现prony算法,自动提取符合信号中分量的频率、幅值、相位、衰减系数等参数,可以实现数据拟合(matlab become realized prony algorithms automatically extract the parameters frequency, amplitude, phase, in line with the signal attenuation coefficient component, you can achieve data fitting)
- 2013-12-18 11:13:51下载
- 积分:1
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功能函数。人员疏散的一种规则 findnew
功能函数。人员疏散的一种规则,可以自动选择位置,各位见笑。(A simple program for CA evacuation.)
- 2019-04-04 15:33:58下载
- 积分:1
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MATLAB2010_book
matlab超强学习资料,从初学进阶到达人,内容全面。(Super matlab learning materials, beginner to reach people advanced, comprehensive.)
- 2015-03-18 20:12:26下载
- 积分:1
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EM_GM
% EM algorithm for k multidimensional Gaussian mixture estimation
%
% Inputs:
% X(n,d) - input data, n=number of observations, d=dimension of variable
% k - maximum number of Gaussian components allowed
% ltol - percentage of the log likelihood difference between 2 iterations ([] for none)
% maxiter - maximum number of iteration allowed ([] for none)
% pflag - 1 for plotting GM for 1D or 2D cases only, 0 otherwise ([] for none)
% Init - structure of initial W, M, V: Init.W, Init.M, Init.V ([] for none)
%
% Ouputs:
% W(1,k) - estimated weights of GM
% M(d,k) - estimated mean vectors of GM
% V(d,d,k) - estimated covariance matrices of GM
% L - log likelihood of estimates
%( EM algorithm for k multidimensional Gaussian mixture estimation Inputs: X (n, d)- input data, n = number of observations, d = dimension of variable k- maximum number of Gaussian components allowed ltol- percentage of the log likelihood difference between 2 iterations ([] for none) maxiter- maximum number of iteration allowed ([] for none) pflag- 1 for plotting GM for 1D or 2D cases only, 0 otherwise ([] for none) Init- structure of initial W, M, V: Init.W, Init.M, Init.V ([] for none) Ouputs: W (1, k)- estimated weights of GM M (d, k)- estimated mean vectors of GM V (d, d, k)- estimated covariance matrices of GM L- log likelihood of estimates)
- 2008-04-27 15:51:27下载
- 积分:1
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fastica
fastica定点独立分量分析方法非线性函数选择tanh(a1y)(fastica fixed-point independent component analysis of nonlinear function selection tanh (a1y))
- 2010-05-21 22:18:54下载
- 积分:1
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Bakalarka-materialy
All about the digital modulations ASK, FSK, QPSK
- 2014-10-25 10:06:27下载
- 积分:1
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58848
MATLAB code:
Topic is the optimization of municipal domestic waste collection and transportation routes, the problem is: there are number of different load of garbage trucks set out the station experienced 32 garbage collection garbage and then returned to the station. Waste matrix of distances between poin...
- 2015-02-11 23:11:52下载
- 积分:1