MATLAB: MORE HELPFUL THAN CODE IN HELP/DOC/TYPE NEWFF

Question

% So many users are using NEWFF that I felt the following 
% would be useful (especially since it is also relevant
% for FITNET !)
close all, clear all, clc
[x,t ] = simplefit_dataset;
[I N ] = size(x)         % [ 1 94]
[O N ] = size(t)         % [ 1 94 ]
MSEref = mean(var(t',1)) % 8.3378
% Reference MSE is the result of assuming 
% y = mean(t) <==> output = mean(target) 
figure(1), plot(x,t)
NLE = 4      % No of local extrema
net = newff(x,t,NLE);
rng(0)       % Allows duplication
[ net tr y e ]= train(net,x,t);
% y = net(x); e = t-y;
hold on, plot(x,y,'r--')
NMSE    = mse(e)/ MSEref  % 0.0058
Rsquare = 1 - NMSE        % 0.9942
% Use training record tr to obtain 
% the individual performances of the 
% training, validation and test subsets 
Hope this helps,
Greg

Answer 1

The answer is in the question!