Constrained Training of Neural Networks via Theorem Proving.
Mark ChevallierMatthew WhyteJacques D. FleuriotPublished in: OVERLAY@AI*IA (2022)
Keyphrases
- theorem proving
- neural network
- training process
- training algorithm
- first order logic
- parallel search
- theorem prover
- automated reasoning
- automatic programming
- automated deduction
- term rewriting
- decision procedures
- feedforward neural networks
- inference rules
- proof planning
- proof procedure
- automated theorem proving
- consequence finding
- distributed search
- geometry theorem proving
- multi layer perceptron
- back propagation
- logical inference
- proof search
- training set
- training data
- data mining
- computer software
- intelligent agents
- supervised learning
- artificial intelligence
- genetic algorithm