Connectionists: bnns 2.0 Released

[matus uzak]

Hi,

I would like to announce a new major release of bnns:
http://sourceforge.net/projects/bnns/

bnns is a research tool for interactive training of artificial neural
networks based on the Response Function Plots visualization method. It
enables users to simulate, visualize and interact in the learning process
of a Multi-Layer Perceptron on tasks which have a 2D character. Tasks like
the famous two-spirals task or classification of satellite image data.

Features:
- Reset of weights connected to a neuron
- Freeze/Unfreeze of weights connected to a neuron
- Basic support for scaling of RFPs, preview of RFP in its native size
- Preview of conflicts between output layer neurons
- Preview of error energy on output layer
- Preview of Training/Testing patterns
- Sigmoidal/Softmax activation on output layer
- Logging of MSE and of the sum of output layer responses
- Perl script to prepare bnns patterns from PGM data
- Perl script to prepare bnns patterns from Boston Remote Sensing Testbed
data
- Maintained User Manual

The aim of the project is to deliver a simple yet robust tool which would
help researchers and students to understand the knowledge representation
and the knowledge formation process in MLP type neural networks.

br,

Matus Uzak
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