Using Prior Knowledge in a {NNPDA} to Learn Context-Free Languages

Feature Selection vs Theory Reformulation: A Study of Genetic Refinement of Knowledge-based Neural Networks

Machine Learning - Special issue on multistrategy learning

Incorporating Prior Knowledge in the Form of Production Rules into Neural Networks Using Boolean-Like Neurons

Applied Intelligence

Incremental training of first order recurrent neural networks to predict a context-sensitive language

Neural Networks

Rule Extraction from Recurrent Neural Networks: A Taxonomy and Review

Neural Computation

Spatiotemporal Connectionist Networks: A Taxonomy and Review

Neural Computation

Connectionist theory refinement: genetically searching the space of network topologies

Journal of Artificial Intelligence Research