Creating a loop to simulate model
显示 更早的评论
Hello,
I am seeking to create a loop that simulates the following function, while keeping track of its output. The code i have provided has a boolean output (Response) of either 0 or 1 and I would like to be able to simulate the model described in my code a large number of times while keeping track of the frequency of each boolean output. Any help would be appreciated.
function Response = testingforparam
r1 = unifrnd(0.27, 1.06)
r2 = unifrnd(0.57, 1.30)
function C=kinetics(theta,t)
%c0 denotes the intial conditions of each compartment
c0=[0;0;(100)];
[T,Cv]=ode45(@DifEq,t,c0);
function dC=DifEq(t,c)
dcdt=zeros(3,1);
dcdt(1)= 20.*c(3)+(r1).*c(1).*(1-(c(1)/(5*10^9)))-0.02.*c(1)-((69.7).*c(1)/(1+0.01*c(1)));
dcdt(2)= 20.*c(3)+(r2).*c(2).*(1-(c(2)/(1*10^9)))-0.02.*c(2)-((9/11)*(57.02).*c(2)/(1+0.01*c(2)));
dcdt(3)= 0.02.*c(1)+0.02.*c(2)-20.*c(3)-20.*c(3)-39.12.*c(3);
dC=dcdt;
end
C=Cv;
end
%The following is the data obtained by Join-Lambert et al used in fitting
%the model
t = [0,0.3,24,48];
Liver = [0;101329.8755;9983499.7496;3397799162.7540];
Spleen = [0;365778.6821;7088832.4672;169779424.6359];
Blood = [0;23.2338;92.2555;16841.2063];
c = [Liver, Spleen, Blood];
theta0=[1;1;1];
[theta,Rsdnrm,Rsd,ExFlg,OptmInfo,Lmda,Jmat]=lsqcurvefit(@kinetics,theta0,t,c);
tv = linspace(min(t), max(t), 4);
Fit = kinetics(theta, tv);
LiverFit = Fit(:,1);
SpleenFit = Fit(:,2);
BloodFit = Fit(:,3);
Final = (LiverFit(end)+SpleenFit(end)+BloodFit(end));
% Using boolean notation, 1 is a positive reponse, 0 is a zero reponse
if Final>2 Response = 1;
else Response = 0;
end;
end
采纳的回答
Walter Roberson
2022-9-4
N = 5000;
Responses = zeros(N, 1);
for K = 1 : N
Responses(K) = testingforparam;
end
mean_ones = mean(Responses);
更多回答（0 个）
类别
在 帮助中心 和 File Exchange 中查找有关 Linear Model Identification 的更多信息
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!
Translated by 
