C-IL2P

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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License

Apache License V2.0

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Additional Project Details

User Interface

wxWidgets

Programming Language

C++

Related Categories

C++ Machine Learning Software

Registered

2012-03-13

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