Time variant vs invariant network
Posted: Mon 26. Nov 2012, 19:31
Hello,
Can anyone point me in the right direction ?
I have data set with (4 inputs and 1 output) x 1500 records.
Is it better to deal with it in time variant network:
4 inputs each one with 1500 delay neurons connected to all hidden and output neurons
or
use data set prepared so that each record is like that:
A(0) .. D(0), A(-1)..D(-1) ............. A(-1500)..D(-1500)
(that makes another problem - what is learning data limit ? my data set is 525Mb)
How does it influence on time spent on learning ?
Does Membrain have any limits on number of neurons, links ?
What does it mean when trying to load lesson in csv format "File Access Error" - too big file ?
By the way - great piece of software,
I would propose only one improvement - estimated time when learning is finished.
Regards
Krzysztof
Can anyone point me in the right direction ?
I have data set with (4 inputs and 1 output) x 1500 records.
Is it better to deal with it in time variant network:
4 inputs each one with 1500 delay neurons connected to all hidden and output neurons
or
use data set prepared so that each record is like that:
A(0) .. D(0), A(-1)..D(-1) ............. A(-1500)..D(-1500)
(that makes another problem - what is learning data limit ? my data set is 525Mb)
How does it influence on time spent on learning ?
Does Membrain have any limits on number of neurons, links ?
What does it mean when trying to load lesson in csv format "File Access Error" - too big file ?
By the way - great piece of software,
I would propose only one improvement - estimated time when learning is finished.
Regards
Krzysztof