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Comparison of a Back Propagation Artificial Neural Network Model with a Linear Regression Model for Personnel Selection
Interim rept. 1 Oct 1990-30 Sep 1991
NAVY PERSONNEL RESEARCH AND DEVELOPMENTCENTER SAN DIEGO CA
Pagination or Media Count:
This exploratory research examined the usefulness of an Artificial Neural Network-Back Propagation ANN-BP model predicting dichotomous criteria in personnel selection. The results are quite encouraging. Under a wide variety of circumstances, the ANN-BP model was superior to the Ordinary Least-Squares- Linear Regression OLS-LR model in predicting curvilinear relationships. My once was OLS-LR superior. When the underlying relationship was linear, there were no significant differences. This is somewhat remarkable, given that the OLS-LR model was designed to perform optimally in the linear case. Artificial neural networks, Back propagation, Personnel selection.
APPROVED FOR PUBLIC RELEASE