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[Savannah-register-public] [task #9514] Submission of automatic system m


From: Guillaume
Subject: [Savannah-register-public] [task #9514] Submission of automatic system monitoring
Date: Fri, 26 Jun 2009 13:23:58 +0000
User-agent: Mozilla/5.0 (X11; U; Linux i686; fr-FR; rv:1.9.0.7) Gecko/2009021906 Firefox/3.0.7

URL:
  <http://savannah.gnu.org/task/?9514>

                 Summary: Submission of automatic system monitoring
                 Project: Savannah Administration
            Submitted by: hypno
            Submitted on: ven 26 jun 2009 13:23:56 GMT
         Should Start On: ven 26 jun 2009 00:00:00 GMT
   Should be Finished on: lun 06 jui 2009 00:00:00 GMT
                Category: Project Approval
                Priority: 5 - Normal
                  Status: None
                 Privacy: Public
        Percent Complete: 0%
             Assigned to: None
             Open/Closed: Open
         Discussion Lock: Any
                  Effort: 0.00

    _______________________________________________________

Details:

A new project has been registered at Savannah 
This project account will remain inactive until a site admin approves or
discards the registration.


= Registration Administration =

While this item will be useful to track the registration process, *approving
or discarding the registration must be done using the specific Group
Administration
<https://savannah.gnu.org/siteadmin/groupedit.php?group_id=10276> page*,
accessible only to site administrators, effectively *logged as site
administrators* (superuser):

* Group Administration
<https://savannah.gnu.org/siteadmin/groupedit.php?group_id=10276>


= Registration Details =

* Name: *automatic system monitoring*
* System Name:  *sysmo*
* Type: non-GNU software & documentation
* License: GNU General Public License v2 or later

----

==== Description: ====
sysmo is a tool intended to watch over a temporal system.
It is able to give an approximation of the state of the system thanks to the
input variables.
It it based on machine learning algorithms like multilayer perceptron, KNN or
SVM.
These algorithms require a supervised dataset (inputs plus ouputs) to
recognize patterns and generalize them to new cases.
More the dataset is sizeable, more the tool will make precise predictions.


==== Other Software Required: ====
libsvm, BSD license, http://www.csie.ntu.edu.tw/~cjlin/libsvm/

Inifiles, GPL,
http://search.cpan.org/~shlomif/Config-IniFiles-2.51/lib/Config/IniFiles.pm




==== Tarball URL: ====
http://code.assembla.com/nn-surv/






    _______________________________________________________

Reply to this item at:

  <http://savannah.gnu.org/task/?9514>

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