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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