LINUX CATEGORIES:



NEWS ARCHIVE >>
SOFTPEDIA REVIEWS >>

7-DAY TOP DOWNLOAD

#
Program
BackTrack 3.0 / 4.0
Pre-Final

5,487
Ubuntu 9.10
4,487
VLC 1.0.3
3,388
Wine 1.0.1 / 1.1.32
2,824
Yahoo Messenger
1.0.4

2,483
Adobe Flash Player
for Linux 10.0.32.18

2,320
Thunderbird PST
Import plugin 1.2

2,290
Mandriva Linux
2010.0

1,992
Super Grub Disk
0.9799

1,577
Yellow Dog Linux 6.2
1,441

WEEK'S BEST

  • Ubuntu 9.10
  • Ubuntu Netbook Rem...
  • Pidgin 2.6.3
  • Wine 1.0.1 / 1.1.32
  • Linux Kernel 2.6.3...
  • Mozilla Firefox 3....
  • Fedora 11
  • OpenOffice.org 3.1.1
  • Firestarter 1.0.3
  • The Gimp 2.6.7 / 2...
  • FileZilla 3.2.8.1 ...
  • Transmission 1.76
  • Super Grub Disk 0....
  • Gufw 9.04.2
  • Skype 2.0.072 / 2....
  • openSUSE Linux 11....
  • Opera 10.01 / 10.1...
  • Adobe Flash Player...
  • wine-doors 0.1.3
  • Google Gadgets 0.1...
  • Home / Linux / Science and Engineering / Neuroscience

    Neural Network Framework 1.1.5

    Download button

    Downloads: 1,564  Add to download basket  Tell us about an update
    User Rating:
    Rated by:
    Good (3.0/5)
    26 user(s)
    Developer:

    License / Price:

    Last Updated:

    Category:
    G. Massera | More programs
    GPL / FREE
    June 8th, 2008, 15:31 GMT
    ROOT / Science and Engineering / Neuroscience

     Read user reviews (0)  Add a review  Refer to a friend  Subscribe

     

    Neural Network Framework description

     

    Neural Network Framework is a set of C classes and QT 4.x libraries for creating a wide variety of neural networks.

    Neural Network Framework is a set of C classes and QT 4.x libraries for creating a wide variety of neural networks. The framework is structured at different levels of complexity, in order to provide various interfaces for quick-easy and deep-expert utilizations:

    · at the lowest level it's possible to act completely free of restrictions for building complex architectures; from this level expert-users can contribute to NNFW adding new functionalities;
    · in the intermediate level there are classes for quick-creation of common neural networks such as the multilayer feed-forward network, simple recurrent networks (e.g. Elman, Jordan), Radial-basis network and so on;
    the possibility to represent a neural network with XML files, allows for an abstract and general interface for accessing all the functionalities of the NNFW;
    · a graphical interface it's the high level method to use the framework; this is the most user-friendly and easy method for users, and a way to fool around with complex neural networks.

    Requirements:

    · CMake
    · Doxygen
    · QT 4.x Library

    Compiling NNFW on Linux

    · Download the source package and unpack it where you want;
    · Open your preferred console and move to the directory where NNFW has been unpacked;

    Quick procedure

    Launch follow commands:

    $> cmake .
    $> make
    $> make install

    The library will be installed in the /usr/local directory

    Normal procedure

    Launch the program ccmake:

    $> ccmake .

    · Configure the NNFW_CONFIG variable to fits your needs; (see Configuring the NNFW )
    · Press the "c" key on the keyboard to check the pre-compiling configuration's parameters (please consider that default parametrs should works correctly);
    · Press the "g" key on the keyboard to generate the Makefile and return to the Terminal;
    · Launch the command "make" to compile the library;
    · A file named "libnnfw.a" will be created in lib directory of source tree;
    · Now with "make install" the library will be installed in the PREFIX directory configured by ccmake.

    Recommended procedure (out-of-sources building)

    · Suppose that you unpacked sources in directory /some/place/nnfw-src/
    · Create a subdirectory called build: /some/place/nnfw-src/build
    · Move to build directory and from there launch ccmake:

    $> ccmake ../

    · Configure the NNFW_CONFIG variable to fits your needs; (see Configuring the NNFW )
    · Press the "c" key on the keyboard to check the pre-compiling configuration's parameters (please consider that default parametrs should works correctly);
    · Press the "g" key on the keyboard to generate the Makefile and return to the Terminal;
    · Launch the command "make" to compile the library;
    · A file named "libnnfw.a" will be created in lib directory of build tree;
    · Note that all stuffs generated by CMake and Make procedures are localized into the build directory; so the main source tree is kept clean!
    · Now with "make install" the library will be installed in the PREFIX directory configured by ccmake.

    What's New in This Release:

    · A C binding has been implemented.

      


    TAGS:

    neural network | C framework | analyze neural networks | neural | network | C



    HTML code for linking to this page:


    Go to top

    Windows tabGames tabDrivers tabMac tabLinux tabScripts tabMobile tabHandheld tabGadgets tabNews tab

    SUBMIT PROGRAM   |   ADVERTISE   |   GET HELP   |   SEND US FEEDBACK   |   RSS FEEDS   |   ENTER NEWS SITE   |   ENGLISH BOARD   |   ROMANIAN FORUM