how to convert this to r2013 a code
1 Ansicht (letzte 30 Tage)
Ältere Kommentare anzeigen
bassam massouh
am 28 Nov. 2014
Beantwortet: Greg Heath
am 29 Nov. 2014
how to convert this to r2013 a code:
clear tempP
for k = 1:500,
P = [theta(k);psi(k);theta_dot(k);psi_dot(k)];
tempP = [tempP P];
end
net= newff([-2 2;-2 2;-2 2;-2 2],[50 1],{'tansig','purelin'},'trainlm');
net.trainParam.epochs = 500;
net = train(net,tempP,out(1:500)');
0 Kommentare
Akzeptierte Antwort
Greg Heath
am 29 Nov. 2014
1. This is MATLAB, a MATtrix LAnguage. Typically, loops are unnecessary. If theta, etc are row vectors, use
P = [ theta; psi; theta_dot; psi_dot];
otherwise transpose them before forming P.
2. The target should neither be named out nor should it be a column vector. It should be a row vector named Target or T
[ I N ] = size(P); % [ 4 500 ]
[ O N ] = size(T); % [ 1 500 ]
3. The input syntax you used with NEWFF is DOUBLY obsolete; i.e.,
net = net( minmax(P), [ H O ]);
where the remaining 3 inputs were OMITTED since they are defaults.
4. This newer version is also obsolete:
net = net( P, T, H);
5. NEWFIT (regression)and NEWPR (classification) automatically call NEWFF; ALL are obsolete and have been replaced by FITNET(regression), PATTERNNET(classification) and FEEDFORWARDNET, respectively.
6. To find the correct syntax for your regression problem use the commands
help fitnet
doc fitnet
7. For oogobs of examples, search both the NEWSGROUP and ANSWERS using
greg fitnet.
Hope this helps.
Thank you for formerly accepting my answer
Greg
0 Kommentare
Weitere Antworten (0)
Siehe auch
Kategorien
Mehr zu Sequence and Numeric Feature Data Workflows finden Sie in Help Center und File Exchange
Produkte
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!