in reply to AI Neural Networks based Prediciton

Google says AI::NeuralNet::Simple. Looks like a place to start.

1 Peter 4:10
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Re^2: AI Neural Networks based Prediciton
by kulls (Hermit) on Sep 16, 2014 at 18:08 UTC
    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

      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.

      1 Peter 4:10
        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