kulls has asked for the wisdom of the Perl Monks concerning the following question:

Hi,
I am new to Artificial Intelligence and studying Neural Networks. Can anyone suggest me how to do a prediction program through machine learning, especially stock market data.
Please suggest me some example.
Raja K

Replies are listed 'Best First'.
Re: AI Neural Networks based Prediciton
by GotToBTru (Prior) on Sep 16, 2014 at 14:29 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