Free neural networks software for linux

Java Neural Network Trainer is a neural network trainer with the ability to easily add new training algorithms and training patterns.

Java Neural Network Trainer project includes a parallel training graphical interface where you can view each trainer working in real-time in parallel.

neurALC project is an open-source cross-platform software for the analysis of multi-electrode recordings.

In the current version it supports experimental data files in the Neural Event Format (NEV 1.x, 2.0, 2.1), and offers functionality to reveal and analyze some of the information contained in such recordings.

It is further intended as a kind of "catalyst" for the development of a free available cross-platform program for the analysis of electrophysiological recordings.

Ruby Iptables NEtwork Displayer project draws an SVG from a Linux IP table generated by "iptables-save".

AI::NeuralNet::BackProp is a simple back-prop neural net that uses Deltas and Hebbs rule.

SYNOPSIS

use AI::NeuralNet::BackProp;
# Create a new network with 1 layer, 5 inputs, and 5 outputs.
my $net = new AI::NeuralNet::BackProp(1,5,5);

# Add a small amount of randomness to the network
$net->random(0.001);

# Demonstrate a simple learn() call
my @inputs = ( 0,0,1,1,1 );
my @ouputs = ( 1,0,1,0,1 );

print $net->learn(@inputs, @outputs),"n";

# Create a data set to learn
my @set = (
[ 2,2,3,4,1 ], [ 1,1,1,1,1 ],
[ 1,1,1,1,1 ], [ 0,0,0,0,0 ],
[ 1,1,1,0,0 ], [ 0,0,0,1,1 ]
);

# Demo learn_set()
my $f = $net->learn_set(@set);
print "Forgetfulness: $f unitn";

# Crunch a bunch of strings and return array refs
my $phrase1 = $net->crunch("I love neural networks!");
my $phrase2 = $net->crunch("Jay Lenno is wierd.");
my $phrase3 = $net->crunch("The rain in spain...");
my $phrase4 = $net->crunch("Tired of word crunching yet?");

# Make a data set from the array refs
my @phrases = (
$phrase1, $phrase2,
$phrase3, $phrase4
);

# Learn the data set
$net->learn_set(@phrases);

# Run a test phrase through the network
my $test_phrase = $net->crunch("I love neural networking!");
my $result = $net->run($test_phrase);

# Get this, it prints "Jay Leno is networking!" ... LOL!
print $net->uncrunch($result),"n";

AI::NeuralNet::BackProp is the flagship package for this file. It implements a nerual network similar to a feed-foward, back-propagtion network; learning via a mix of a generalization of the Delta rule and a disection of Hebbs rule. The actual neruons of the network are implemented via the AI::NeuralNet::BackProp::neuron package

Fast Artificial Neural Network Library implements multilayer artificial neural networks in C with support for both fully connected and sparsely connected networks.
Cross-platform execution in both fixed and floating point are supported. It includes a framework for easy handling of training data sets. It is easy to use, versatile, well documented, and fast. PHP, Python, Delphi and Mathematica bindings are available.
Main features:
- Multilayer Artificial Neural Network Library in C
- Backpropagation training (RPROP, Quickprop, Batch, Incremental)
- Evolving topology training which dynamically builds and trains the ANN (Cascade2)
- Easy to use (create, train and run an ANN with just three function calls)
- Fast (up to 150 times faster execution than other libraries)
- Versatile (possible to adjust many parameters and features on-the-fly)
- Well documented (An easy to use reference manual, a 50+ page university report describing the implementation considerations etc. and an introduction article)
- Cross-platform (configure script for linux and unix, dll files for windows, project files for MSVC++ and Borland compilers are also reported to work)
- Several different activation functions implemented (including stepwise linear functions for that extra bit of speed)
- Easy to save and load entire ANNs
- Several easy to use examples (simple train example and simple test example)
- Can use both floating point and fixed point numbers (actually both float, double and int are available)
- Cache optimized (for that extra bit of speed)
- Open source (licenced under LGPL)
- Framework for easy handling of training data sets
- Graphical Interface
- C++ Bindings
- PHP Extension
- Python Bindings
- Delphi Bindings
- .NET Bindings
- Mathematica Extension
- Octave Extension
- Ruby Bindings
- Pure Data Bindings
- Debian package

Multi Network Firewall is the up-to-date Mandriva Linux security solution dedicated to the business world. Maximum innovation, performance and scalability is only a click away thanks to an easy-to-use web interface.
Combining firewall, Intrusion Detection System and VPN functionality, MNF 2 is the ultimate full-featured security solution meeting all your demands. Furthermore, to make your network even more secure, benefit from a year of free updates through Mandriva Online Pro!
Main features:
- a firewall, to protect your computer network from unauthorized access (filtering).
- Intrusion Detection System, to alert you to abnormal network activity.
- Virtual Private Network, to enable a secure private tunnel over public networks.
- Proxy server, to intercept all web traffic entering the network.
- DHCP server, to enable the automatic configuration of new machines connected to the LAN.
- Caching DNS, to provide a local DNS service for computers connected to the LAN.
New Featurs:
As well as the existing IPSec, MNF2 provides 2 other types of VPN:
PPTP: a desktop under Windows(R) can be automatically connected without installing any special software
OpenVPN: a lighter open source VPN; Compattible with Linux, Mac OS and Windows
Bonding: Channel combines several network interfaces into a single connection. Effectively, it means that data transfer speeds can be multiplied.
Bridging: this new function enables the administrator to build bridges between network interfaces.
Traffic shaping: You can regulate the flow of traffic on your network just by clicking on a wizard.
Network mapping: Makes it possible to connect networks which use the same private network addresses
Peer-to-Peer Filtering: MNF2 automatically blocks network traffic from "Fast Track" peer-to-peer clients.
Better software support
2.6 Linux Kernel
Better hardware support
Improved support for multiple network cards (up to 10)
Wi-Fi Support
Better ADSL support
Services included in the product
Mandriva Online Pro: benefit from updates for one year through Mandriva Online Pro
Support included/

network-config is a simple network configuration tool.

Network-config is a simple and easy to use program that helps configuring the network interfaces for linux-based operating systems. It allows to have multiple configurations for the same computer and to easy configure NAT for internet sharing.

It can also be used to scan for wireless networks. It is written in perl and uses gtk2+, but also works as a command line program.