How to predict next value using time series that have only 1 column and 14000 rows ?

I want to predict next internet traffic data on links. I have a time series that only 1 column/14000 rows. I want to create a neural network, then I will train it with %70, no validate(if not necessary) and test with %30 of time series values. At last, I want to calculate the MAPE for predictions/target only. I have a few questions, will be glad with your answer:

1- I am not sure but using the NAR network type now. Which network type should I choose ? NARX, NAR or Non Input/Output type ?

2- I think the MAPE is calculating for all 14000 values. But I want to calculate the MAPE for only Predictions/Test(~=4200 values). How can I do that ?

This is my time series. Thank for all answers.

[Greg Heath]

1. Transpose to get 1 row.

2. Search the NEWSGROUP and ANSWERS with

narnet tutorial

Good Luck,

Greg

Answer 1

[Greg Heath]

1. Transpose to get 1 row.

2. Search the NEWSGROUP and ANSWERS with

narnet tutorial

Good Luck,

Greg