Neural network for pattern recognition

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.

[Maysa]

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.

Answer 1

[Greg Heath]

This is a standard time-series prediction problem.

help timedelaynet

Hope this helps.

Thank you for formally accepting my answer

Greg