Hi,
Thanks, I am bit confused how to train my neurons ( trained sets ) as my stock details are single stacked column and what would I suggest as output ? All examples are descibing XOR where output is defined whereas I want to predict the data for a given input data. Please suggest me on this
Raja K | [reply] |
You need to define what output you want for a given input. You train the neural network by supplying both the input and the output, and it makes the internal adjustments to produce those results.
In the examples, they provide 0 and 1 as input, and expect 1 as output, and 1 and 1 as input, and expect 0 as output. That's what an XOR does.
You need to define a set of inputs and the output you expect in each case. That is what you will use to train your neural network.
| [reply] |
Hi,
Thanks. For example, NASDAQ Index "XYZ", the following values are the daily rate .
"2010-02-03" = 23.25;
"2010-02-04" = 32.02;
"2010-02-05" = 28.21;
"2010-02-06" = 12.25;
Can you suggest me what output I can define for the above input data . how do I predict the value for "2010-02-07" ?
Please correct me if I am missing anything
Raja K
| [reply] [d/l] |