A Comparison of Concept Identification in Human Learning and Network Learning with the Generalized Delta Rule
نویسندگان
چکیده
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
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