MATLAB Answers

Goal seek two variables with unusual function (contains summation and data-dependent)

6 views (last 30 days)
Abdul Kadir Alhamid
Abdul Kadir Alhamid on 10 Aug 2020
Hi there!
I think I have a bit simple and interesting question but might take a while to look at the code below. I am doing a regression using RBF neural network. I have to change the r_slr and r_depth variable accordingly so that the root mean square error between the data and the regression estimation is 0. Is there any way to make a 'goalseek' as in excel for these two variables and for such unusual 3D function below? The function depends on the data by the way, x and y is the input and z is the output.
x_data=x_data'; %1600 x 1 double, given data input
y_data=y_data'; %1600 x 1 double, given data input
z_data=z_data'; %1600 x 1 double, given data output
phi=zeros(size(x_data,1),size(y_data,1)); %1600 x 1600 double
r_slr=0.9222; %Shape parameter in x, object of interest, want to adjust this
r_depth=2.0417; %Shape parameter in y, want to adjust this as well
%Making phi matrix
for i=1:size(phi,1)
for j=1:size(phi,2)
%Making w array
w=(phi*phi')\phi'*z_data; %1600 x 1 double
x_est=x_data; %since this is input, so it's the same
y_est=y_data; %this is the same as well
%below is the function
for i=1:size(z,1)
%the function above depends on x_data and y_data, also has a summation for every point of estimation.
RMSE = sqrt(mean((z_data - z_est).^2)); %the goal is to make this as minimum as possible (0 if possible)
Thank you

Answers (0)

Community Treasure Hunt

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

Start Hunting!