Neural network for pattern recognition
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Hi Everybody, I want you to help me figure out which problem am I dealing with (pattern recognition or time series forecasting) and find the best NN architecture suited for this problem.
In my problem, I have many finite sets of two dimensional data (learning sets). Lets N be the size of the data set I want to calculate using the NN. I want my NN to learn these data and by giving it the first m data of the data set it gives me the remaining N-m data.
I think it's rather a pattern recognition problem, so which is the best NN architecture suited for this kind.
Thank you.
1 Comment
Maysa
on 22 Oct 2013
i worked on back propagation neural network for pattern recognition and i find it good for you, you also can use recurrent neural and compare the results.
Accepted Answer
Greg Heath
on 13 Jul 2013
This is a standard time-series prediction problem.
help timedelaynet
Hope this helps.
Thank you for formally accepting my answer
Greg
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