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How to predict through artificial neural networks
Learner IDear friends
I am trying to make predictions using artificial intelligence networks.
My data set is below.(it goes all the way down to 4500 rows, I picked some of them)
| Tarih | ptf (market price) | PTFS | PTFG | PTFH1 | PTFH2 | PTFH3 | PTFH4 | PTFH5 | HVSC |
| 1/01/2012 00/00 | 149,99 | 130,00 | 150,99 | 149,99 | 139,96 | 149,99 | 149,99 | 145,00 | 6,50 |
| 1/01/2012 01/00 | 129,99 | 149,99 | 138,99 | 138,01 | 130,00 | 130,93 | 146,79 | 145,00 | 6,00 |
| 1/01/2012 02/00 | 117,14 | 129,99 | 129,94 | 129,74 | 110,01 | 129,92 | 145,00 | 143,00 | 6,00 |
| 1/01/2012 03/00 | 101,72 | 117,14 | 128,99 | 117,00 | 35,04 | 110,06 | 139,93 | 135,00 | 7,00 |
| 1/01/2012 04/00 | 53,99 | 101,72 | 116,99 | 104,81 | 20,17 | 99,98 | 130,01 | 129,00 | 6,50 |
| 1/01/2012 05/00 | 53,99 | 53,99 | 116,99 | 104,54 | 45,48 | 100,00 | 130,93 | 135,00 | 6,00 |
| 1/01/2012 06/00 | 55 | 53,99 | 119,93 | 100,00 | 110,00 | 99,97 | 129,56 | 110,00 | 6,00 |
| 1/01/2012 07/00 | 35,05 | 55,00 | 115,68 | 58,91 | 53,00 | 52,99 | 124,95 | 105,00 | 6,50 |
Here is the path I followed:
Read excel/normalize/set role (ptf ( market price) is my dependent variable and labelled)/multiply/filter example (training)/filter example (test)/neural test/apply model/performance regression
When I follow this path, 6 sigmoid and 1 linear regression nodes appear.
As a result, I get the predicted values of the already known market price.
My question is, how do I get the predictive value of market price without knowing and taking the market price as the dependent variable?
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