A comparison of concept identification in human learning and network learning with the generalized delta rule
Michael J. Pazzani, Michael G. Dyer · 1987
The generalized delta rule (which is also known as error backpropagation) is a significant advance over previous procedures for network learning. In this paper, we compare network learning using the generalized delta rule to human learning on two concept identification tasks: • Relative ease of concept identification • Generalizing from incomplete data