Neural Network Inputs and Outputs to meaningful values

Posted by Micheal on Stack Overflow See other posts from Stack Overflow or by Micheal
Published on 2010-04-19T21:01:40Z Indexed on 2010/04/19 21:03 UTC
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I'm trying to determine how to transform my "meaningful input" into data for an Artificial Neural Network and how to turn the output into "meaningful output".

The way I can always see of doing it is by convering everything to categories with binary values.

For example, rather than outputting age, having a 0-1 for <10, a 0-1 for 10 - 19, etc.

Same with the inputs, where I might be using for example, hair colour. Is the only way to turn this into input to have Blonde 0-1, Brown 0-1, etc?

Am I missing some entire topic of ANNs? Most of the books and similar I read use theoretical examples.

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