I need to design an appropriate Neural Network for my Data
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farzad
el 4 de Jul. de 2015
Comentada: Greg Heath
el 7 de Jul. de 2015
Hi All
I am in need of correction of my neural network to work for my input and target data , please run the files with the NN , and see how the regression is
shall you please help me to get good results ?
10 comentarios
Greg Heath
el 6 de Jul. de 2015
1. Plot all 19. Then you tell me why you should have done this before designing the regression models.
2. The number of training equations are greater than the number of unknowns when
H < Hub = 325
So you just choose Hmax = 40 ???
Respuesta aceptada
Greg Heath
el 6 de Jul. de 2015
% result = 0 0.70784
% 3 0.91287
% 6 0.93873
% 9 0.94475
% 12 0.94233
% 15 0.94359
% 18 0.95516
% 21 0.95128
% 24 0.95247
% 27 0.94899
% 30 0.94737
% Elapsed time is 69.4 seconds.
% result = 0 0.70784
% 16 0.94645
% 32 0.95738
% 48 0.94561
% 64 0.95157
% 80 0.95522
% 96 0.94683
% 112 0.95382
% 128 0.96052
% 144 0.94832
% 160 0.96098
% Elapsed time is 265.5 seconds.
3 comentarios
Greg Heath
el 7 de Jul. de 2015
Obviously, it takes at least 2 hidden nodes to approximate a single local max.
If you had plotted the outputs you would have seen that there a lot of local maxes in target 3.
Have you overlaid plots of output(red) on target plots(blue)?
Originally you indicated that 0.94 was an unacceptable result.
I showed that H = 160 ~ Hmax/2 will get you up to 0.96.
It is obvious what to do if you want to go higher with this topology.
However, if you want to exceed Hmax, then use a validation set or trainbr.
Another possibility is to use 2 or 3 separate nets
Hope this helps.
Greg
Más respuestas (1)
Greg Heath
el 5 de Jul. de 2015
My code that you included works ok. But I did have several comments
1. PLOT ALL 19 COMPONENT PLOTS
2. Plot results
3. COMMENT OR DELETE the statemets
inp=[ input(1,:) ]';
netback
Hope this helps.
Thank you for formally accepting my anser
Greg
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