lsqnonlin question

2 次查看（过去 30 天）
Shalini
Shalini 2012-4-18
Consider the following code:
X(1:10304)=xlsread('qs_comp_2.xls',2,'G3822:G14125');
Y(1:10304)=xlsread('qs_comp_2.xls',2,'H3822:H14125');
X(10305:12631)=xlsread('comp.xls',3,'T4259:T6585');
Y(10305:12631)=xlsread('comp.xls',3,'U4259:U6585');
X0=[1012 1400 0.17 -0.0001];
lb = [1012;900;0.17;-0.0001];
ub=[1300;1600;0.3119;10];
StartAt = [1012;900;0.17;-0.0001];
options = optimset('MaxFunEvals',10000);
x=lsqnonlin(@(X0)fit_simp(X0,X,Y),StartAt,lb,ub,options);
[total_readings,epsilon_dot_QS,epsilon_dot_MR] = GetMRDetails;
for i=1:total_readings
Y_new(i)=(X0(1)+X0(2)*(X(i)^X0(3))+X0(4)*log(epsilon_dot_QS/epsilon_dot_MR));
end
Please can anyone help me here:
1) Is the final optimised vector X0 or is it x? That is: which id the final answer X0 or X 2)Is there anything I'm missing in this code?

请先登录，再回答此问题。

回答（2 个）

Sean de Wolski
Sean de Wolski 2012-4-18
It is x, the output from lsqnonlin. It doesn't look like the above code ever uses the actual optimized value.
  1 个评论
Shalini
Shalini 2012-4-18
Please can you correct it-I shall be grateful.I'm new to matlab

请先登录，再进行评论。

Shalini
Shalini 2012-4-18
Why you think so?
My fit_simp function (see properly above) is as below
function diff = fit_simp(x,X,Y)
% This function is called by lsqnonlin.
% x is a vector which contains the coefficients of the
% equation. X and Y are the option data sets that were
% passed to lsqnonlin.
A=x(1);
B=x(2);
n=x(3);
C=x(4);
[total_readings,epsilon_dot_QS,epsilon_dot_MR] = GetMRDetails;
for i=1:total_readings
diff(i)=(A+B*(X(i)^n)+C*log(epsilon_dot_QS/epsilon_dot_MR));
diff(i)=diff(i)-Y(i);
end
  2 个评论
Sean de Wolski
Sean de Wolski 2012-4-18
That looks fine, it's that your call to LSQNONLIN generates a vector called 'x'. This vector is not used in the remainder of the code you showed us.
Shalini
Shalini 2012-4-18
ok, i will correct that- 2 questions:
1)IS optimisation code correct?
2) I want to outtput the adjusted R square, how to do that?
Shalini

请先登录，再进行评论。

类别

在 Help Center 和 File Exchange 中查找有关 Mathematics 的更多信息

标签

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by