Towell and Shavlik define hybrid learning methods as using both domain-theory knowledge and classified examples, and describe KBANN as mapping propositional-logic domain theories into neural networks refined by backpropagation.

One recorded claim. The claim panel gives its qualification, the source passages with their place in each source, and how it was checked.