目录
1 概述
2 运行结果
3 参考文献
4 Matlab代码
本代码用于灵敏性分析的方法模型。
[1]姚宏亮,苌健,王浩,李俊照.灵敏性分析下的因果网络参数的扰动学习研究[J].计算机科学与探索,2012,6(02):165-174.
主函数部分代码:
clear all
n = 1000; % size of sample (n); number of simulations/runs
LHS_params = initialize_params(n);
R_0 = func_output(n, LHS_params);
R_0 = R_0';
% szy: need to get data from each params to use func_prcc()
numberParams = size(LHS_params, 2); % get number of params
LHS_matrix = [];
for i=1:numberParams
LHS_matrix = [LHS_matrix LHS_params(i).data];
end
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% Sensitivity Analysis Results:
% PRCC (sensitivity indexes of R_0 with respect to each parameter):
PRCC_R0 = function_Prcc(R_0, LHS_matrix);
% plots:
plot_hist_paramsAndOutput(LHS_params, R_0);
plot_PRCC(PRCC_R0, numberParams);