Hallo,
Can anyone explain why 'sim' command in neural network is not working in Matlab version 2015 and above? After training the network, I wanted to simulate the values to predict the accuracy of the network. I used the command :
y=sim(net,p); where y is the simulated values matrix of the input matrix p
When i try to do the same using the neural network toolbox, I was able to simulate the values but not able to use 'sim' as objective function for the subsequent optimization methods.
Regards, Bharath

 Akzeptierte Antwort

Greg Heath
Greg Heath am 13 Mär. 2016

1 Stimme

Replace
train( net, p, t )
with reasonable variations of
[ net tr y e ] = train( net, p, t );
where y = net( x ) and e = t-y
Hope this helps.
Thank you for formally accepting my answer

Weitere Antworten (2)

Greg Heath
Greg Heath am 11 Mär. 2016

0 Stimmen

You cannot use the names of MATLAB commands or functions for your own use. They are RESERVED.
Any of the commands
lookfor sim
help sim
doc sim
which sim
would have indicated a reserved name.
By the way, as you can gather from the help or doc documentation on fitnet, patternnet, etc the command y = sim(net,x) has been replaced by y = net(x). SIM is now used w.r.t. SIMULINK.
Hope this helps.
Thank you for formally accepting my answer
Greg
Bharathwaj Krishnamoorthi
Bharathwaj Krishnamoorthi am 11 Mär. 2016
Bearbeitet: Bharathwaj Krishnamoorthi am 11 Mär. 2016

0 Stimmen

Hi Greg,
I appreciate your answer. And I was not using the Matlab commands for my own use. Please check the command for simulating the neural network in pre-Matlab2015 versions. I have attached the picture containing the result ( which is an empty matrix) when i used both sim(net,x) and net(x).
Looking for an answer,
Bharath

2 Kommentare

Steven Lord
Steven Lord am 11 Mär. 2016
Type this command at the Trial>> prompt and show the output.
net
Greg Heath
Greg Heath am 11 Mär. 2016
Bearbeitet: Walter Roberson am 14 Mär. 2016
Your attachment is unreadable. Just cut and paste the code. Greg
NEVER MIND: CTRL + DID THE JOB!

Melden Sie sich an, um zu kommentieren.

Kategorien

Mehr zu Deep Learning Toolbox finden Sie in Hilfe-Center und File Exchange

Community Treasure Hunt

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

Start Hunting!

Translated by