Logic Tensor Networks (LTN) use continuously valued logic with fuzzy semantics to train neural networks that satisfy given logical axioms, such as enforcing that the truth degree of a premise is less than or equal to the truth degree of a conclusion.

Authors

• Person: Not available Organization: Springer
  A Comprehensive Review of Neuro-symbolic AI for Robustness ...

Sources

• A Comprehensive Review of Neuro-symbolic AI for Robustness ... link.springer.com Springer via serper

Referenced by nodes (2)

• artificial neural networks concept
• Logic Tensor Networks concept