fminsearch for multi-input and single output
5 views (last 30 days)
Show older comments
I have unknown function with two inputs ('x1' and 'x2') and one output ('Y') and a constant parameter 'p'. Each input is a vector of order [3000 x 3] and a output vector with order [3000 x 3]. Constant is [1 x 1]
best guess of unknown function is Y = (1-p)* 0.003* x1 + 275*p* x2.^4
i want to find a optimum value of parameter 'p' for which the error between the (Ymes - ) is minimum.
Ymes , X1 and X2 are known.
i tried fminsearch but it is not working
Ymes = rand(3000,3);
x1= rand(3000,3);
x2 = rand(3000,3);
fun = @(p) sum((Ymes - (1-p)*0.003* x1 + 275*p*x2.^4)).^2;
pguess = 1500;
[p,fminres] = fminsearch(fun,pguess)
0 Comments
Answers (1)
Torsten
on 28 Feb 2018
Edited: Torsten
on 28 Feb 2018
Ymes = rand(3000,3);
x1= rand(3000,3);
x2 = rand(3000,3);
Ymes = Ymes();
x1 = x1();
x2 = x2();
fun = @(p) sum((Ymes - ((1-p)*0.003* x1 + 275*p*x2.^4)).^2);
%starting guess
pguess = [0.15];
%optimise
[p,fminres] = fminsearch(fun,pguess)
or simply:
Ymes = rand(3000,3);
x1= rand(3000,3);
x2 = rand(3000,3);
Ymes = Ymes();
x1 = x1();
x2 = x2();
p = (-0.003*x1+275*x2.^4)\(Ymes-0.003*x1)
7 Comments
Torsten
on 1 Mar 2018
My guess was that you want to fit
Ymes(i,j)
against
(1-p)*0.003* x1(i,j) + 275*p*x2(i,j).^4
for 1<=i<=3000 and 1<=j<=3.
This is what the code I suggested does.
If you want to do something else, you will have to clarify.
Best wishes
Torsten.
See Also
Categories
Find more on General Applications in Help Center and File Exchange
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!