in reply to Estimating continuous functions

Not having as strong a math background as I would like, I jump straight to a (possibly) practical solution: Neural Nets. It'll probably either get close to the real function, or it'll generate a confused mass of code much like the one you say you have now :) If nothing else, it might be a fun diversion.

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Note: All code is untested, unless otherwise stated

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Re: Re: Estimating continuous functions
by Anonymous Monk on Mar 30, 2004 at 00:45 UTC
    Or write a Genetic Algorithm (using AI::Genetic for example). Use a variety of functions as genes from which to build the genome of each 'individual'. The fitness test could use least squares.
    Problem with Neural Nets is they tend to be black boxes, though they might approximate your function they can't easily tell you what it is. Unless you implement a *really* big one that can parse and generate natural language as well as your function ;)
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