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RE: Rocket Science - Practical ?



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No question of it's THEORETICAL potential....but will someone show me how it
works in PRACTICAL terms as applied to trading NOW ?

> -----Original Message-----
> From: Mark Jurik [mailto:mark@xxxxxxxxxxxx]
> Sent: Saturday, February 05, 2000 1:26 AM
> To: 'Omega List'
> Subject: RE: Rocket Science
>
>
>
> pierre.orphelin:
> >> Unlike what you think, fuzzylogic, whent properly trained, is
> able to generalize ...And this is more true with neurofuzzy
> logic...... This froggyfied piece of software  is at least 4-5
> years ahead the current US technology.<<
>
> I can attest that, from my own R&D, fuzzy neurons can be
> incredibly powerful.  My investigation led me to discover a large
> class of functions ( eg. simple, geometric and harmonic
> averaging, minima and maxima, L1 and L2 distance metrics, etc. )
> as mere points in a fuzzy-neural function space.  All other
> points in the space represent undiscovered functions that can be
> easily accessed by setting a few parameters in the fuzzy neuron.
> Imagine, if you will, a function Fn(x) where subscript n defines
> the function:  n=-1 yields harmonic averaging, n=0 yields
> geometric averaging, n=1 yields arithmetic averaging, and so on.
> Parameter n can actually be any floating point value from
> -infinity to + infinity, thereby unifying an broad class of
> functions parametrically.  Training might be set n=0.37,
> producing a function that is nearly impossible to intuit.  Now
> imagine 7 adjustable parameters, producing new functions in 7-D
> function space.  This goes well beyond the capabilities of percep!
> !
> tron based and template based NN models.
>
> Pierre's neuro-fuzzy software may very well be years ahead of
> mainstream USA.
>
> Mark Jurik
> Jurik Research
> http://www.jurikres.com
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