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C-IL2P

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Original C-IL2P

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Description

This is a C++ implementation of the original C-IL2P system, invented by Artur D'Avila Garcez and Gerson Zaverucha.

C-IL2P is a neural-symbolic learning system which uses a propositional logic program to create a three-layer recursive neural network and uses back-propagation to learn from examples.

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Additional Project Details

User Interface

wxWidgets

Programming Language

C++

Registered

2012-03-13
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