RE: Neural Network Programming Overview Question
- From: "Sina Bahram" <sbahram@xxxxxxxxx>
- To: <programmingblind@xxxxxxxxxxxxx>
- Date: Wed, 15 Oct 2008 18:39:31 -0400
Forward them along if you don't mind.
Take care,
Sina
-----Original Message-----
From: programmingblind-bounce@xxxxxxxxxxxxx
[mailto:programmingblind-bounce@xxxxxxxxxxxxx] On Behalf Of black ares
Sent: Wednesday, October 15, 2008 6:15 PM
To: programmingblind@xxxxxxxxxxxxx
Subject: Re: Neural Network Programming Overview Question
I think I have some where some Ai books and genetic algorithms.
Please e-mail offlist and I will try to answer with some books.
----- Original Message -----
From: "Sina Bahram" <sbahram@xxxxxxxxx>
To: <programmingblind@xxxxxxxxxxxxx>
Sent: Wednesday, October 15, 2008 11:01 PM
Subject: RE: Neural Network Programming Overview Question
> There are probably millions of lines of lisp you can pull from for
> libraries
> and things of that nature for neural networks of varying types and
> flavors.
> Please note that's equivalent, literally, to hundreds of millions of lines
> of code of C# or other lesser languages, *smile*.
>
> Here are some random, and not so random links below.
>
> An interesting guy who has done research related to what you're asking
> about.
> http://www.idsia.ch/~juergen/
>
> A common strategy, and one of the few that actually has a chance in my
> opinion, is evolutionary techniques that evolve neural networks. To that
> end, here you go.
>
> Neurocomputing : Neural network construction and training using
> grammatical
> evolution:
>
http://www.sciencedirect.com/science?_ob=ArticleURL&_udi=B6V10-4S1C894-3&_us
>
er=10&_rdoc=1&_fmt=&_orig=search&_sort=d&view=c&_version=1&_urlVersion=0&_us
> erid=10&md5=9736cb76398111c4e1306f5d31ec18de
>
> Watch out if links wrap ... That one's a long one, for example.
>
> Using multi-agents to predict the stock market evolution based on
> fundamentalist analysis and fuzzy-neural networks
> http://portal.acm.org/citation.cfm?id=1366414
>
> Designing neural networks using genetic algorithms:
>
http://citeseerx.ist.psu.edu/showciting;jsessionid=6F2C4C9E46A26B6323421B306
> 2D5B2F2?cid=65706
>
> Here's a general collection that might be useful:
> Keith Price Bibliography New Unsorted Entries, and Other Miscellaneous
> Papers
>
> Comparison of artificial intelligence & machine learning algorithms as a
> predictor of surgical outcomes in benign prostatic hperlasia cases (BPH):
> http://cat.inist.fr/?aModele=afficheN&cpsidt=14046882
>
> An Analysis of Factors Directing the Admission Process of Artificial
> Intelligence Technologies
> http://dbpubs.stanford.edu:8090/pub/1995-16
>
> Note: I think that last one has the full text available.
>
> Stock Market Modeling Using Genetic Programming Ensembles
> http://www.springerlink.com/content/w061315720425n76/
>
> Connectionism
> http://www.linuxselfhelp.com/HOWTO/AI-Alife-HOWTO-3.html
>
> Now for some code related links:
>
> Common-Lisp.net
> http://common-lisp.net/
>
> C liki wiki:
> http://www.cliki.net/index
>
> The Common Lisp Open Code Collection (CLOCC)
> http://clocc.sourceforge.net/
>
> The common lisp hyperspec, this is most likely the most important link out
> of the whole bunch:
> http://www.lispworks.com/documentation/HyperSpec/index.html
>
> Tour de Lisp
>
http://tourdelisp.blogspot.com/2008/01/common-lisp-libraries-victims-of-driv
> e.html
>
> Read the comments on that site, too.
>
> Anyways, hope that helps.
>
> Take care,
> Sina
>
> ________________________________
>
> From: programmingblind-bounce@xxxxxxxxxxxxx
> [mailto:programmingblind-bounce@xxxxxxxxxxxxx] On Behalf Of Ricks Place
> Sent: Wednesday, October 15, 2008 2:53 PM
> To: programmingblind@xxxxxxxxxxxxx
> Subject: Neural Network Programming Overview Question
>
>
> Hi Guys:
> See if this sounds right:
> A neural network may be any of several types.(models) MLP
> FeedForward, BiDirectional models and many other Dynamic
> variations. Inputs can be Filtered, weighted and tuned using
> Back-Propagation, Genetics, Fuzzy Logic and Chaos Methods which
> seem to be the ones best suited to Stock Market and Asset
> Allocation based on Technicals and fundementals. LISP is the
> programming language of choice for most programmers in the AI
> field but is not supported in Visual Studio. If I hand code I
> would have to code all of the models of a given network if I
> wanted to evaluate each model's effectivness in prediction of
> optimum Asset Allocation or Market Timing. There may, or not, be
> modules, dlls? out there for Back-Propagation, Genetics and Fuzzy
> Logic I could use in a home grown LISP application. There might be
> some LISP based development environments for developing Neural
> Networks available with embedded heavy math functions already set
> up to apply against inputs for a LISP application.
> Otherwise I would have to design and code them.
> Do I have a generalized overview of the situation?
> I am trying to decide on developing in LISP using just a LISP
> environment, a specialized environment, a plug in for developing
> NNs in Visual Studio, a Stand Alone system like NeuroShell or
> something else like just subscribing to a service for investing
> using the NeuroShell models.
> Thanks Guys - this is really big time and I think I am just out of
> my league but want to see if I have the general ideas before
> making any initial decision costing allot of time, money or both.
> Rick USA
>
>
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